Methods and systems for personalizing visitor experience at a non-profit venue using supplemental media

ABSTRACT

A system for providing supplemental media to a visitor at a non-profit venue, comprising: a software product running a program on a mobile computing device carried by the visitor, which when the program is executed, performs the steps of: analyzing photographs taken by the visitor; accessing digital imagery from a database of high-resolution imagery of the non-profit venue; matching the photographs taken by the visitor to the high-resolution imagery to identify a location in the non-profit venue of a set of exhibits depicted in the photographs; creating archivable regions in stored imagery allocated to the visitor; and allowing the visitor to activate the archivable regions to retrieve additional information about the set of exhibits depicted in the photographs.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is: (i) a continuation of U.S. application Ser. No.16/905,222 filed Jun. 18, 2020 and entitled METHODS AND SYSTEMS FORPERSONALIZING VISITOR EXPERIENCE AT A NON-PROFIT VENUE USING MACHINELEARNING TO GENERATE SELECTION OR SEQUENCE OF NON-PROFIT VENUE LOCATIONRECOMMENDATIONS, and (ii) a bypass continuation of InternationalApplication No. PCT/US2019/045220 filed Aug. 6, 2019, published as WO2020/033354 on Feb. 13, 2020, which claims priority to U.S. provisionalapplication No. 62/715,018, filed on Aug. 6, 2018, each entitled METHODSAND SYSTEMS FOR PERSONALIZING GUEST EXPERIENCE AT A VENUE. Each of theabove applications is hereby incorporated by reference as if fully setforth herein in its entirety.

TECHNICAL FIELD

This application relates to the field of personalizing visitorexperience at a venue. More particularly this application relates tomethods and systems for providing recommendations to visitors of amuseum, zoo or other non-profit venue based on their interaction andenhancing participation in campaigns.

BACKGROUND

Non-profit venues such as museums, zoos, exhibition halls, and parks aretypically supported at least in part by philanthropic donations frommembers, visitors and other supporters. Donated funds are used in partto support projects, such as the creation, maintenance and ongoing carefor exhibits, subjects, animals, curated objects, and other items thatare presented or curated within a venue, as well as other projects andactivities (e.g., archeological digs, restoration projects, habitatpreservation projects, and many others) that take place away from avenue but are associated with or represented in a venue. Such venues mayoften have a large number of physical points of interest for a visitor,representing different topics, projects, activities and the like. Forexample, an art museum may have separate rooms for different art styleslike renaissance art, impressionism, cubism, surrealism, pop art etc.Similarly, an exhibition may include groupings of sculptures based oncountries of origin and a park may have different sections based onvarious activities or themes.

Service providers and owners of non-profit venues such as museums, zoos,and parks are continually challenged to raise funds for their projectsand other activities, as well as to offer favorable experiences forvisitors. Traditionally, such venues have relied upon printed placards,audio-visual guides, mobile applications, and touchscreens to conveyinformation to the visitors about various sections or specific objectslike individual paintings, sculptures etc. However, conventionalapproaches contain generic information about items of interest andtherefore fail to provide a personalized experience to a visitor basedon the interests of the visitor. In turn, conventional approaches mayfail to engage the personal philanthropic interests of a visitor, suchas interest in supporting a particular project, as opposed to the venueor institution as a whole.

Applicant appreciates a need for improved methods and systems forcreating and presenting personalized information to a visitor of avenue, such as a non-profit venue, in order to encourage philanthropicactivity, such as donations, by the visitor.

SUMMARY

Methods and systems are provided herein for personalizing the experiencefor visitors (referred to herein in some cases as guests) of a museum,zoo or other non-profit venue, such as based on interests, location, orother contexts, including interest in particular items or topics andphilanthropic interests. In embodiments, the personalizing of visitorexperience may make use of location information of the visitor withinthe venue (including time-based location information, such as dwelltime), as well as other information like demographic information,information about interests of a visitor, information about activitiesof a visitor, or the like. Such information may be utilized topersonalize the experience of the visitor in various ways, such as forproviding personalized recommendations (such as suggested routes topoints of interest or locations in the venue), campaign participationand other philanthropic opportunities, improved photography orvideography services, personalized multimedia content, digital guidesand the like.

In embodiments, methods and systems for personalizing visitor experienceat a museum, zoo or other non-profit venue include providingrecommendations to visitors based on their interactions within thevenue. In embodiments, interactions may be captured by one or moretracking systems within a venue, such as a location tracking system(e.g., using beacons, access points, or local proximity detectionsystems, such as NFC or Bluetooth systems) and/or interaction trackingsystems (such as cameras, microphones, proximity detectors, motiondetectors, touch detectors and the like). In embodiments, interactionsmay be tracked by analyzing the interactions of a visitor with a mobiledevice. In embodiments, interactions may be tracked by analyzing contentcaptured by a mobile device, such as photographic, video and/or audiocontent recorded by the mobile device. For example, in embodiments,interactions may be captured by a mobile device, such as a mobile deviceof a visitor or one provided for use by a visitor. In embodiments, therecommendations may be provided by a software product running a programon a mobile computing device carried by the visitor, which when executedperforms the steps of: analyzing the location of photographs taken bythe visitor, analyzing the subjects of these photographs, analyzing thepath of the visitor taken through the venue such as using RF beacons orother tracking systems, providing the information as an input, such as afeature vector, profile, or the like to a recommendation engine, and,using the results of the recommendation engine, suggesting otherexperiences for the visitor. In embodiments, the other experience is adonation or gifting opportunity related to an exhibit. In embodiments,the other experience is a visit to a different exhibit in the venue.

Provided herein is, a method for personalizing an experience of avisitor at a non-profit venue, comprising: executing an application on amobile computing device carried by the visitor, which, when executed,performs the steps of: analyzing a path of the visitor taken through thevenue based on data from a set of tracking systems recording aninteraction of the visitor with a specific exhibit or other itemassociated with an ongoing campaign; upon detecting that an interactionby the visitor with the specific exhibit or other item exceeds athreshold, providing personalized information relating to the visitor toa recommendation engine; and, using results from the recommendationengine, presenting a relevant call-to-action to the visitor toparticipate in the campaign. In embodiments, the personalizedinformation includes a feature vector or visitor profile. Inembodiments, the campaign is a charitable project selected from thegroup consisting of a translation project, an art project, a clean waterproject, an education project, a building project, a missionary project,a disaster relief project, a restoration project, an acquisition projectand combinations thereof. In embodiments, the recorded interaction ofthe visitor with the specific exhibit or other item is analyzed based onvideo taken of a face of the visitor. In embodiments, the recordedinteraction of the visitor with the specific exhibit or other item isanalyzed by the mobile computing device or by a platform incommunication therewith using visual affect detection. In embodiments,the call-to-action is presented in response to the visitor requestingadditional information about a campaign. In embodiments, the relevantcall-to-action is selected from a group consisting of a request for adonation, a request for a subscription, a request to share on socialmedia, a request to provide metadata about the visitor for display on anendorsement, a request to share the campaign with others, a request tobe contacted further, a request to donate on behalf of another, arequest to sponsor another campaign participant, a request forsponsorship by another to participate in the campaign and combinationsthereof. In embodiments, the campaign has a set of goals and theapplication shows a degree of achievement of the set of goals in agraphical form. In embodiments, the steps further include the step ofautomatically subscribing the visitor to an ongoing email orpush-messaging update about a status of the campaign.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising a mapping and tracking system for storing apersonalized tracking history of the visitor, for generating a live,digital map of the venue and for mapping and tracking venue elements,venue personnel, and a set of visitors at the non-profit venue. Inembodiments, the digital map depicts location information selected fromthe group consisting of: exhibits; objects; meeting spots; popular photoand video locations; attractions; paths; the visitor; other visitors;visitors having a significance to the visitor including: friends,family, a tour group, a tour guide; a route associated with the visitorincluding: a recommended route, a pre-planned route, an actual route;entrances; exits; parking; a vehicle associated with the visitor;refreshments; dining; restrooms; retail shops; kiosks; securitystations; information assistance stations; docent stations; employees ofthe venue and combinations thereof; and the digital map conveysinformation regarding a topic selected from the group consisting of aphilanthropic opportunity, a campaign and combinations thereof. Inembodiments, the digital map includes data selected from the groupconsisting of high-resolution imagery, high-resolution video,captioning, textual data, live video feed and combinations thereof.

In embodiments, supplemental media are provided by the platform to thevisitor based on personalized tracking history; and the supplementalmedia are provided by a software product running a program on a mobilecomputing device carried by the visitor, which, when executed, performsthe steps of: tracking a specific path of the visitor through the venue;storing the locations where the visitor stopped and waited; storing thespecific path of the visitor on a remote server; providing the digitalmap to the visitor on the mobile computing device; and at a final end ofa visit, assembling a multimedia presentation summarizing specificportions of the venue that the visitor visited and presenting themultimedia to the visitor. As used herein, “final end” distinguishes thetemporal beginning of a visit from the temporal completion of the visit.The “final end” is coincident with the temporal completion of the visit.As used herein, “at the final end” means occurring in time atapproximately the temporal completion of the visit. It is not necessaryfor the visitor 102 to have exited the venue 104 to have approximatelycompleted the visit. In an example, at the final end can mean within 5minutes of the visitor exiting the venue 104. Since the visitor 104 maylinger near the exit for an extended, unpredictable period of time; andsince the visitor 104 may back-track and revisit portions of the venue104 after having neared the exit, “at the final end” of the visit meansat a time wherein the visitor is within a certain distance from theexit, for example 20 meters, 50 meters, or 100 meters.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a navigation system for providing a route anddirections for the visitor to experience the venue. In embodiments, theprovided route is based on goodwill or profit factors. In embodiments,the provided route is optimized to avoid lines or crowds. Inembodiments, the visitor contributes to pre-planning the route beforethe route is provided. In embodiments, the provided route is conveyedvia a mobile device to be carried by the visitor.

An aspect provided herein includes a method for personalizing anexperience of a visitor at a non-profit venue, comprising: executing anapplication on a mobile computing device carried by the visitor, which,when executed, performs the steps of: analyzing a path of the visitortaken through the non-profit venue using a set of tracking systems;recording an interaction of the visitor with a specific venue exhibitassociated with an ongoing campaign; retrieving demographic informationrelated to the visitor from a database; providing a visitor vector to arecommendation engine, wherein the visitor vector includes thedemographic information related to the visitor, wherein a personalizedmultimedia presentation is personalized to the visitor and presented tothe visitor during the interaction of the visitor with the specificvenue exhibit based on results output by the recommendation engine. Inembodiments, the personalized multimedia presentation is presented in anapplication running on the mobile computing device separately from thevenue exhibit. In embodiments, the specific exhibit includes a kioskthat presents the personalized multimedia presentation. In embodiments,the personalized multimedia presentation displays a name of the visitoror other information related to the visitor. In embodiments, thepersonalized multimedia presentation is personalized based on aneducation level, income level, language, developmental status, or age ofthe visitor. In embodiments, the developmental status of the visitorindicates that the visitor is a child. In embodiments, the visitorvector includes recorded visitor interaction data; the recorded visitorinteraction data includes records of interactions of the visitor with avenue exhibit other than the specific venue exhibit; the recordedvisitor interaction data demonstrates a degree of interest of thevisitor in categories of information conveyed by the venue exhibit; thepersonalized multimedia presentation is personalized based on thecategories of information in which the visitor has demonstrated agreater interest based on the recorded visitor interaction data from theinteractions of the visitor with the venue exhibit other than thespecific venue exhibit. In embodiments, the categories of informationare selected from the group consisting of history, pictures, people,current activities and combinations thereof. In embodiments, thepersonalized multimedia presentation includes augmented reality.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a notification system for conveying anotification to the visitor. In embodiments, the notification isselected from the group consisting of: a message that multimedia contentis available; navigation information; ticketing information; digitalguidance; venue hours of operation; a donation opportunity; aphilanthropic campaign message; a philanthropic campaign status update;parking information; refreshment information; dining information; retailsales information; security information; a gamification message;augmented photo data; augmented video data; a reward; a socialconnection; a popular location for photography; a popular location forvideography; a restriction on photography for an exhibit or object; apayment confirmation; a donation confirmation; a message that a photofilter is available; a recommendation and combinations thereof. Inembodiments, the information technology platform further comprises amanagement system for managing the platform. In embodiments, theinformation technology platform further comprises a management interfacefor accessing the management system. In embodiments, the managementinterface is for creating an interactive campaign; information about thecampaign is displayed at multiple locations or sites via the managementinterface; the information about the campaign is displayedsimultaneously at the multiple locations or sites; and participants atthe multiple locations interact or participate in real-timecommunication via the management interface. In embodiments, a form ofthe real-time communication is selected from the group consisting ofaudio conferencing, video conferencing, virtual reality conferencing,augmented reality conferencing, collaborative text chat, collaborativeediting and holographic conferencing. In embodiments, the managementinterface provides a heat map showing paths of a plurality of visitorsthrough the venue. In embodiments, the management interface is forcreating multiple templates of multimedia asset selections or sequences.In embodiments, the management interface is for creating interactivecampaigns related to locations in a site plan. In embodiments, themanagement interface is for associating a live feed of multimedia to asite plan. In embodiments, the management interface is for creatinginteractive campaigns and displaying multimedia relating to the degreeof progress towards a goal in the interactive campaign. In embodiments,the management interface is for designing interactive content. Inembodiments, a development of different assets for location-based kiosksand mobile applications is performed via the management interface. Inembodiments, content for different venue locations is developedsimultaneously via the management interface.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a notification system for conveyingadvertising content to the visitor. In embodiments, the personalizedinformation includes a present location of the visitor; the advertisingcontent is related to a specific exhibit in a plurality of exhibitslocated at the non-profit venue; and a location of the specific exhibitis closest to the visitor compared to each other location of theexhibits in the plurality of exhibits. In embodiments, the informationtechnology platform further comprises a navigation system for providinga route and directions for the visitor to experience the venue. Inembodiments, the provided route is based on goodwill or profit factors.In embodiments, the provided route is optimized to avoid lines orcrowds. In embodiments, the visitor contributes to pre-planning theroute before the route is provided. In embodiments, the provided routeis conveyed via the mobile device.

An aspect provided herein includes a method for augmenting a photographtaken by the visitor at a non-profit venue comprising: executing anapplication on a mobile computing device carried by the visitor, which,when executed, performs the steps of: analyzing an original photographtaken by the visitor to determine a location of a subject of theoriginal photograph; determining a set of characteristics of theoriginal photograph; accessing digital imagery from a database ofhigh-resolution imagery of the venue; creating a high-resolution digitalimage having a corresponding set of characteristics to those of theoriginal photograph by using the digital imagery from the database;masking the original photograph based on differences between thehigh-resolution digital image and original photograph taken by thevisitor; and compositing the original photograph with thehigh-resolution digital image to create a high-resolution compositephotograph. In embodiments, the high-resolution imagery includes a 3Dmodel of the location of the subject. In embodiments, thehigh-resolution imagery contains 3-dimensional metadata. In embodiments,the high-resolution imagery includes video. In embodiments, thehigh-resolution imagery includes a light-field photographic image. Inembodiments, the method further comprises re-shading images of humansubjects captured in the original photograph to blend with thehigh-resolution imagery from the database. In embodiments, the methodfurther comprises providing the high-resolution composite photograph tothe visitor on a website or within the application on the mobilecomputing device carried by the visitor. In embodiments, the set ofcharacteristics includes at least one of location, orientation, point ofview and lighting characteristics.

Provided herein is a method for augmenting a video taken by a visitor ata non-profit venue comprising: executing an application on a mobilecomputing device carried by the visitor, which, when executed, performsthe steps of: analyzing an original video taken by the visitor todetermine locations of subjects of the original video; determining a setof characteristics of the original video; accessing digital imagery froma database of high-resolution imagery of the venue; creating ahigh-resolution motion path sequence of images having a correspondingset of characteristics to those of the original video by using thedigital imagery from the database; masking the original video based ondifferences between the high-resolution motion path sequence of imagesand the original video taken by the visitor; compositing the originalvideo with the high-resolution motion path sequence of images to createa high-resolution composite video.

In embodiments, the high-resolution imagery includes a 3D model of thelocations of the subjects. In embodiments, the high-resolution imagerycontains 3-dimensional metadata. In embodiments, the high-resolutionimagery includes video. In embodiments, the high-resolution imageryincludes a light-field photographic image. In embodiments, the methodfurther comprises re-shading images of human subjects captured in theoriginal video to blend with the high-resolution imagery from thedatabase. In embodiments, the method further comprises providing thehigh-resolution composite video to the visitor on a web site or withinthe application on the mobile computing device carried by the visitor.In embodiments, the set of characteristics includes at least one oflocation, orientation, lighting, and motion path characteristics.

An aspect provided herein includes a method for providing supplementalmedia to a visitor at a non-profit venue, comprising: executing anapplication on a mobile computing device carried by the visitor, which,when executed, performs the steps of: tracking a specific path of thevisitor through the venue using a set of tracking systems; trackinglocations where the visitor stopped and waited; storing the specificpath of the visitor on a remote server; providing a digital map to thevisitor on the mobile computing device carried by the visitor;determining, from the specific path of the visitor stored on the remoteserver, whether or not the visitor had come into proximity of certainexhibits or objects depicted on the digital map; and in response to thedetermining, selectively allowing the visitor to view information aboutthe exhibits or objects on the digital map if the visitor had come intoproximity of the exhibits or the objects. In embodiments, theinformation is selected from the group consisting of high-resolutionimagery, video, captioning, textual data, live video feed, donationinformation, and combinations thereof. In embodiments, the set oftracking systems includes a Radio Frequency (RF) beacon, an accesspoint, an Indoor Positioning System (IPS), a Global Positioning System(GPS), a local proximity detection system, a Quick Response (QR) codescanning system, or an image recognition system. In embodiments, thelocal proximity detection system includes at least one of a Near-FieldCommunication (NFC) system, a Wi-Fi system, an RF system, a cellularsystem, an Internet of Things (IoT) system, and a Bluetooth system. Inembodiments, the method further comprises selectively preventing thevisitor from viewing the information about the exhibits or the objectson the digital map if the visitor had not come into proximity of theexhibits or the objects.

Provided herein are methods and systems for providing supplemental mediato a visitor at a non-profit venue, comprising: a software productrunning a program on a mobile computing device carried by the visitor,which when the program is executed, performs the steps of: analyzingphotographs taken by the visitor; accessing digital imagery from adatabase of high-resolution imagery to identify a location in the venueof a set of exhibits depicted in the photographs; creating archivableregions in stored imagery allocated to the visitor; and allowing thevisitor to activate the archivable region to retrieve additionalinformation about the set of exhibits depicted in the photographs. Inembodiments, the additional information includes a call-to-actionallowing the visitor to participate in a fundraising campaign. Inembodiments, the additional information includes a call-to-actionallowing the visitor to share a fundraising campaign with an othervisitor. In embodiments, the additional information includes acall-to-action allowing the visitor to provide personal information or aphotograph to be shared in a virtual wall relating to the set ofexhibits. In embodiments, the additional information is selected fromthe group consisting of high-resolution imagery, video, captioning,textual data, live video feed, donation information, and combinationsthereof. In embodiments, the additional information includes suggestionsof other exhibits popular with people who took photographs of theexhibit.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; and a donationimpact viewing system for presenting media or information to the visitorbased on a photograph taken by a visitor, wherein the media orinformation relates to the donation impact of a donation related to apoint of interest. In embodiments, the media or information depicts oris related to the point of interest prior to donation efforts orcampaign initiation. In embodiments, media or information depicts or isrelated to the point of interest upon completion of a donation orcampaign benchmark or goal. In embodiments, the media or informationdepicts a status of a campaign with respect to donation goals. Inembodiments, the media or information is presented to the visitor with arequest for the visitor to donate.

An aspect provided herein includes a method for providing a visitor to anon-profit venue a campaign participation opportunity based on aninteraction of the visitor, comprising: executing a program on a mobilecomputing device carried by the visitor, which, when executed, performsthe steps of: analyzing a path of the visitor taken through thenon-profit venue using a set of tracking systems; recording theinteraction of the visitor with a specific venue exhibit associated withan ongoing campaign; retrieving a set of target locations and multimediahints from a server; displaying the multimedia hints on the mobilecomputing device; confirming that the visitor has arrived at at leastone target location in the set of target locations; and conveying areward notification to the visitor in response to each target locationthat the program confirmed as having been visited by the visitor. Inembodiments, the confirming that the visitor has arrived at at least onetarget location in the set of target locations, further comprises:conveying a question to the visitor, wherein information for a correctresponse to the question is located at the at least one target location;receiving an input in response to the question from the visitor via themobile computing device; comparing the input in response to the questionfrom the visitor to a correct answer received from the server; andverifying that the input in response to the question from the visitormatches the correct answer received from the server. In embodiments, theconfirming that the visitor has arrived at at least one target locationin the set of target locations further comprises scanning a QR codeusing a camera wherein the camera is located in the mobile computingdevice. In embodiments, the confirming that the visitor has arrived atat least one target location in the set of target locations, furthercomprises: accepting a picture of the at least one target location takenon a camera wherein the camera is located in the mobile computingdevice; and using image recognition to compare the picture to an imageretrieved from a server.

Provided herein is a system for reducing a wait time for a visitor of avenue, comprising: a mobile application module running on a mobilecomputing device carried by the visitor that communicates with one ormore wireless beacons or tracking systems proximate to the venue whilethe visitor is at least one of traveling to the venue and queuing toenter the venue; a provisioning module for activating a portable digitalguide; an entry module running on a portable device for identifying andchecking-in visitors; and a notification module for notifying venueworkers, wherein the notification module is to automatically notify theprovisioning module to provision an available digital guide bypre-filling the available digital guide with personalized visitorinformation, and to notify at least one of the venue workers to retrievethe digital guide and to meet the visitor where the visitor is expectedto enter the venue. In embodiments, the venue is at least one of amuseum and a zoo. In embodiments, the notification module is to providethe venue worker with an image and a name of the visitor, a coordinateof where the visitor is expected to enter the venue, and at least one ofa travel speed of the visitor and an estimated time of arrival of thevisitor at the coordinate. In embodiments, the tracking system includesa Radio Frequency (RF) beacon, an access point, an Indoor PositioningSystem (IPS), a Global Positioning System (GPS), a local proximitydetection system, a Quick Response (QR) code scanning system, or animage recognition system. In embodiments, the local proximity detectionsystem includes at least one of a Near-Field Communication (NFC) system,a Wi-Fi system, an RF system, a cellular system, an Internet of Things(IoT) system, and a Bluetooth system.

Provided herein are methods and systems for developing content forpersonalized museum, zoo or other non-profit venue experiences for amobile computing device comprising: providing an interface formanagement of multimedia assets, receiving an assignment of multimediaassets relating to specific physical and/or virtual locations in one ormore site plans, receiving categorical and/or topical metadata toassociate with multimedia assets, providing an interface for receipt ofpersonalized interest data for a museum visitor includingvisitor-provided preference data and/or passively-collected visitorinteraction data, and applying a machine learning algorithm to analyzethe metadata and the personalized interest data for a plurality ofvisitors to provide a sequence and/or selection of multimedia assets forconsumption by a museum visitor. In embodiments, an interactivemultimedia asset is assigned to use an audio, visual, tactile, ormovement capture device in communication with the mobile computingdevice.

An aspect provided herein includes a method for developing content forpersonalized non-profit venue experiences using a mobile device,comprising: providing a management interface for management of a set ofmultimedia assets; receiving a mapping of multimedia assets to a set oflocations on a set of site plans for the venue; receiving topicalmetadata for the set of multimedia assets; providing an interface forreceiving data indicating personal philanthropic interests of a visitorto the venue, wherein the data indicating personal philanthropicinterests of the visitor to the venue includes visitor-providedpreference data and passively-collected visitor interaction data; andapplying a machine learning system to analyze the metadata and the dataindicating personal philanthropic interest of the visitor to provide asequence or a selection of multimedia assets for consumption by thevisitor. In embodiments, the machine learning system assembles asequence or selection based at least in part on a personal route takenby the visitor through at least one of the site plans in the set of siteplans. In embodiments, the machine learning system generates a memorybook for the visitor subsequent to a visit to the venue, wherein thememory book is based in part on a personal route taken by the visitorthrough at least one of the site plans in the set of site plans. Inembodiments, a web interface is to give the visitor access to the memorybook. In embodiments, a mobile app is to give the visitor access to thememory book. In embodiments, the machine learning system assembles asequence or selection based at least in part on visitor selections madeat the venue. In embodiments, at least one of the multimedia assets isan interactive multimedia asset. In embodiments, the interactivemultimedia asset is assigned to use an audio, visual, tactile, ormovement capture device associated with a location in the venue. Inembodiments, the management interface further provides an interface forcreating an interactive campaign, wherein information about theinteractive campaign is displayed at a plurality of locations or sites,wherein the information about the interactive campaign is displayedsimultaneously at the plurality of locations or sites, and whereinvisitors at the plurality of locations or sites have access to real-timeinteraction or real-time communication with each other. In embodiments,a mode of the real-time communication is selected from the groupconsisting of audio conferencing, video conferencing, virtual realityconferencing, collaborative text chat, holographic conferencing, andcombinations thereof. In embodiments, at least one location in the setof locations on the set of site plans is associated with a wirelessbeacon. In embodiments, the management interface further provides a heatmap showing paths of visitors through the venue. In embodiments, themanagement interface further provides an interface for creating aplurality of templates for multimedia asset selections or sequences. Inembodiments, the management interface further provides an interface forcreating an interactive campaign related to at least one location in theset of locations on the set of site plans for the venue.

In embodiments, the management interface further provides an interfacefor associating a live feed of multimedia to a site plan. Inembodiments, the management interface further provides an interface forcreating an interactive campaign and displaying multimedia to convey adegree of progress towards a goal in the interactive campaign. Inembodiments, the management interface further provides an interface fordesigning interactive content. In embodiments, the management interfacefurther provides for the development of different assets forlocation-based kiosks and mobile applications. In embodiments, themanagement interface further provides for a simultaneous development ofcontent for a plurality of venues. In embodiments, the machine learningsystem generates a memory book for the visitor subsequent to a visit tothe venue, wherein the memory book has digital assets coordinated inpart based on a personal route taken by the visitor through at least oneof the site plans in the set of site plans, or wherein the memory bookhas digital assets coordinated in part based on visitor input.

An aspect provided herein includes a method for providing personalizedvenue visit recommendations to a visitor at a non-profit venue,comprising: providing a management interface for management of a set ofmultimedia assets; receiving a mapping of multimedia assets to specificphysical or virtual displays in at least one site plan; receivingtopical metadata for the set of multimedia assets; providing aninterface for receiving data indicating personal interests of a visitorto the venue, wherein the data indicating personal interests of thevisitor to the venue includes visitor-provided preference data andpassively-collected visitor interaction data; receiving personalinterest data for a plurality of venue visitors; receiving preferencedata relating to a prospective visitor; applying a machine learningsystem to analyze the metadata, the data indicating personal interestsof the visitor, the personal interest data for the plurality of venuevisitors, and the preference data relating to the prospective visitor;and generating a selection or sequence of venue location recommendationsfor the prospective visitor. In embodiments, the machine learning systemassembles a sequence or selection based at least in part on visitorselections made at the venue. In embodiments, the machine learningsystem generates recommendations based at least in part on a donationhistory of the prospective visitor. In embodiments, the machine learningsystem generates recommendations based at least in part on a donationhistory of visitors with similar interests to the prospective visitor.In embodiments, the management interface further provides an interfacefor creating an interactive campaign, wherein information about theinteractive campaign is displayed at multiple locations or sites,wherein the information about the interactive campaign is displayedsimultaneously at the multiple locations or sites, and wherein a visitorat one of the multiple locations or sites can interact or communicatewith at least one other visitor at at least one other location or sitein real time. In embodiments, the real-time communication is selectedfrom the group consisting of audio conferencing, video conferencing,virtual reality conferencing, collaborative text chat, holographicconferencing, and combinations thereof. In embodiments, the venuelocations are associated with corresponding wireless beacons.

An aspect provided herein includes a method for developingrecommendations for a personalized venue visit at a non-profit venue,comprising: providing a management interface for management of a set ofmultimedia assets; receiving a mapping of multimedia assets to specificphysical or virtual displays in at least one site plan; receivingtopical metadata for the set of multimedia assets; providing aninterface for receiving data indicating personal interests of a visitorto the venue, wherein the data indicating personal interests of thevisitor to the venue includes a set of data selected from amongvisitor-provided preference data, passively-collected visitorinteraction data, and visitor route data; receiving personal interestdata for a plurality of venue visitors; receiving preference datarelating to a prospective visitor; applying a machine learning system toanalyze the metadata, the data indicating personal interests of thevisitor, the personal interest data for the plurality of venue visitors,and the preference data relating to the prospective visitor; andgenerating a selection or sequence of venue location recommendations forthe prospective visitor. In embodiments, the personal interest data iscollected from visitor visits across a plurality of non-profit venues.In embodiments, the preference data relating to the prospective visitoris collected for multiple venues. In embodiments, the preference datarelating to the prospective visitor is collected at a non-profit venue.In embodiments, the preference data relating to the prospective visitoris derived from information collected on the prospective visitor basedon a prior visit by the prospective visitor to a non-profit venue. Inembodiments, the preference data relating to the prospective visitor isderived from information collected on the prospective visitor based onthe route data of the prospective visitor through a non-profit venueduring a previous visit to the non-profit venue. In embodiments, thepreference data for the prospective visitor is collected using a mobileapplication. In embodiments, the preference data for the prospectivevisitor is collected based on indications of interest. In embodiments,the indications of interest are collected through gaze analysis. Inembodiments, the indications of interest are collected through visualanalysis via a plurality of cameras. In embodiments, the indications ofinterest are provided by the prospective visitor. In embodiments, thepreference data for the prospective visitor is generated from visitorinformation collected from a visitor unrelated to the non-profit venue.In embodiments, the visitor route data is collected using a mobileapplication. In embodiments, the visitor route data is collected usingwireless beacons. In embodiments, the visitor route data is collectedusing cameras. In embodiments, the visitor route data is collected usingbiometric sensors. In embodiments, the visitor route data is collectedusing a sensor network. In embodiments, the visitor route data iscollected by tracking visitor interaction with venue displays. Inembodiments, the visitor route data is collected by tracking visitor useof a venue guide device.

Provided herein are methods and systems for coordinating personalizedexperiences between cooperating non-profit venues, comprising:identifying a visitor to a current venue using an authentication systemin a mobile application; displaying an interface of multimedia availablein specific physical or virtual displays in site plans from a pluralityof non-profit venues; accessing multimedia assets relating to specificphysical or virtual displays in one or more site plans; accessingcategorical or topical metadata to associate with the multimedia assets;collecting personalized interest data relating to the visitor to atleast one of the non-profit venues, the personalized interest dataincluding visitor-provided preference data, passively-collected visitorinteraction data, and visitor route data; and providing a selection orsequence of venue location recommendations for the visitor that includerecommendations and multimedia relating to an other venue different fromthe current venue. In embodiments, personalized interest data iscollected from visits by the visitor to multiple non-profit venues usinga plurality of capture devices. In embodiments, the personalizedinterest data is collected using a mobile application. In embodiments,the personalized interest data is collected using wireless beacons. Inembodiments, the personalized interest data is collected using cameras.In embodiments, the personalized interest data is collected usingbiometric sensors. In embodiments, the personalized interest data iscollected using a sensor network. In embodiments, the personalizedinterest data is collected by tracking visitor interaction with venuedisplays. In embodiments, the personalized interest data is collected bytracking visitor use of a venue guide device. In embodiments, thepreference data for the prospective visitor is generated from visitorinformation collected from the visitor unrelated to the cooperatingnon-profit venues.

Provided herein are methods and systems for creating content-orientedpersonalized multi-venue non-profit venue experiences, comprising:accessing a list of multimedia assets relating to specific physical orvirtual exhibits from a plurality of non-profit venues; receivingcategorical or topical metadata to associate with the multimedia assets;receiving personalized interest data for a visitor to at least one ofthe non-profit venues, the personalized interest data includingvisitor-provided preference data, passively-collected visitorinteraction data, and visitor route data; receiving personalizedinterest data for a plurality of non-profit venue visitors relating tomultiple non-profit venues for each visitor; receiving preference datarelating to a category of non-profit venue visitor; applying a machinelearning algorithm to analyze the metadata, the personalized interestdata, and the preference data relating to the category of non-profitvenue visitor; and generating a recommendation of a sequence ofmultimedia exhibits, wherein a first portion of the sequence relates toa first non-profit venue, and a second portion of the sequence relatesto a second non-profit venue. In embodiments, the personalized interestdata is collected from visits by visitors across multiple venues using aplurality of capture devices. In embodiments, the personalized interestdata is collected using a mobile application. In embodiments, thepersonalized interest data is collected using a wireless beacon. Inembodiments, the personalized interest data is collected using a camera.In embodiments, the personalized interest data is collected using abiometric sensor. In embodiments, the personalized interest data iscollected using a sensor network. In embodiments, the personalizedinterest data is collected by tracking a visitor interaction with avenue display. In embodiments, the personalized interest data iscollected by tracking a use by a visitor of a venue guide device. Inembodiments, the machine learning system assembles a sequence orselection based at least in part on a personal route taken by thevisitor through one or more site plans. In embodiments, the machinelearning system assembles a sequence or selection based in part on aselection made by the visitor at a venue location.

Provided herein are methods and systems for cross-venue referral for avisitor to a non-profit venue in a group of cooperating non-profitvenues, comprising: receiving personalized interest data from among aset of visitor-provided preference data, passively-collected visitorinteraction data, and visitor route data for a plurality of visitors tonon-profit venues across a plurality of non-profit venues; receivingpreference data relating to a specific set of visitors; applying amachine learning algorithm to analyze the personalized interest data andthe preference data relating to the specific set of visitors; andgenerating a recommendation of a selection or sequence of non-profitvenue location recommendations for the specific set of visitors relatingto at least a portion of the plurality of the non-profit venues. Inembodiments, the recommendation includes a promotion or discount toattend an other non-profit venue. In embodiments, the recommendation isprovided to the specific set of visitors via a medium selected from thegroup consisting of email, push messaging, virtual reality, mobileapplications, augmented reality, a museum kiosk, an audio interface, andcombinations thereof. In embodiments, the recommendation is based inpart on the contribution history of the specific set of visitors. Inembodiments, the venues in the group of cooperating non-profit venuesare classified into categories, and wherein preference data for aprospective set of visitors to a venue in a first category is collectedfrom a set of visitors to an other venue in an other category of venues.

Provided herein are methods and systems for automating content selectionfor a personalized non-profit venue experience, comprising: accessing alist of multimedia assets relating to specific physical or virtualdisplays in at least one site plan; receiving categorical or topicalmetadata to associate with the multimedia assets; receiving personalizedinterest data for a venue visitor selected from among visitor-providedpreference data, passively-collected visitor interaction data, andvisitor route data; receiving personalized interest data for a pluralityof venue visitors relating to multiple non-profit venues for eachvisitor; receiving preference data relating to a prospective venuevisitor; applying a machine learning algorithm to analyze the metadata,the venue visitor data and the prospective visitor data, and generatinga selection or sequence of venue location recommendations for theprospective visitor. In embodiments, the personalized interest data iscollected from visits by the visitor to multiple non-profit venues usinga plurality of capture devices. In embodiments, the personalizedinterest data is collected using a mobile application. In embodiments,the personalized interest data is collected using a wireless beacon. Inembodiments, the personalized interest data is collected using a camera.In embodiments, the personalized interest data is collected using abiometric sensor. In embodiments, the personalized interest data iscollected using a sensor network. In embodiments, the personalizedinterest data is collected by tracking a visitor interaction with avenue display. In embodiments, the personalized interest data iscollected by tracking a use by a visitor of a venue guide device. Inembodiments, the multiple non-profit venues are classified intocategories, and preference data for a prospective visitor to a venue ina first category is collected from a visitor to an other venue in another category of venues disrelated from the first category.

Provided herein are methods and systems for providing a coordinatedexperience for a visitor to a non-profit venue in a group of cooperatingnon-profit venues, comprising: providing an interface for management ofmultimedia assets; receiving an assignment of multimedia assets relatingto specific physical or virtual displays in one or more site plans;receiving categorical or topical metadata to associate with multimediaassets; providing an interface for receipt of personalized interest datafor a visitor to a venue, including data selected from amongvisitor-provided preference data, passively-collected visitorinteraction data, and visitor route data; receiving personalizedinterest data for a plurality of visitors to non-profit venues relatingto multiple non-profit venues for each visitor; applying a machinelearning algorithm to analyze the multimedia and the personalizedinterest data for the plurality of visitors; and generating a pluralityof generic visitor profiles and a corresponding plurality of selectionor sequence of venue location recommendations. In embodiments, themanagement interface further provides a heat map showing paths ofvisitor through the non-profit venue. In embodiments, the heat map isfurther segmented according to the generic visitor profiles. Inembodiments, the personalized interest data is collected from visits byvisitors across multiple venues using a plurality of capture devices. Inembodiments, the personalized interest data is collected using a mobileapplication. In embodiments, the personalized interest data is collectedusing a wireless beacon. In embodiments, the personalized interest datais collected using a camera. In embodiments, the personalized interestdata is collected using a biometric sensor. In embodiments, thepersonalized interest data is collected using a sensor network. Inembodiments, the personalized interest data is collected by tracking avisitor interaction with a venue display. In embodiments, thepersonalized interest data is collected by tracking a use by a visitorof a venue guide device. In embodiments, the machine learning systemassembles a sequence or selection based at least in part on a personalroute taken by the visitor through one or more site plans. Inembodiments, the machine learning system assembles a sequence orselection based in part on a selection made by the visitor at a venuelocation. In embodiments, the multimedia assets are interactive. Inembodiments, an interactive multimedia asset is assigned to use anaudio, visual, tactile, or movement capture device associated with alocation in the venue. In embodiments, the management interface furtherprovides an interface for creating an interactive campaign, informationabout the interactive campaign is displayed at a plurality of locationsor sites, the information about the interactive campaign is displayedsimultaneously at the plurality of locations or sites, and visitors atthe plurality of locations or sites have access to real-time interactionor real-time communication with each other. In embodiments, a mode ofthe real-time communication is selected from the group consisting ofaudio conferencing, video conferencing, virtual reality conferencing,collaborative text chat, holographic conferencing, and combinationsthereof. In embodiments, the venue locations in the site plans areassociated with a wireless beacon.

An aspect provided herein includes a method for providing a visitor to anon-profit venue a campaign participation opportunity based on aninteraction of the visitor, comprising: executing a program on a mobilecomputing device carried by the visitor, which, when executed performsthe steps of: analyzing a path of the visitor taken through thenon-profit venue using a set of tracking systems; in response todetecting that the visitor interaction with the specific venue exhibitexceeds a threshold, providing a visitor vector to a recommendationengine, wherein the visitor vector includes data indicating that thevisitor has shown interest in the campaign; using results output by therecommendation engine, matching the visitor to an other visitorinterested in participating in a similar campaign; and presenting arelevant call-to-action to the visitor to communicate with the othervisitor via the program. In embodiments, communication between thevisitor and the other visitor facilitates a sponsorship relationshipbetween the visitor and the other visitors. In embodiments, the visitoris presented with a list of potential other visitors along withadditional information about the other visitors and goals for the othervisitors for the campaign. In embodiments, the other visitor is selectedby the visitor from a list of potential campaign participants. Inembodiments, the other visitor is selected by the program from a list ofpotential campaign participants. In embodiments, the campaign isselected from the group consisting of a translation project, a cleanwater project, an education project, a building project, a missionaryproject, a disaster relief project, a restoration project, anacquisition project and combinations thereof. In embodiments, therecorded interaction of the visitor with the specific venue exhibitassociated with the ongoing campaign is analyzed based on video taken ofa face of the visitor. In embodiments, the recorded interaction of thevisitor with the specific venue exhibit is analyzed using visual affectdetection. In embodiments, the call-to-action is selected from a groupconsisting of a request for a donation, a request for subscription, arequest to share on social media, a request to provide metadata aboutthe visitor for display on an endorsement, a request to share thecampaign with others, a request to be contacted further, a request todonate on behalf of another, a request to sponsor an other campaignparticipant, a request for sponsorship by an other visitor toparticipate in a campaign. In embodiments, the program automaticallyqueries a sponsored visitor to request an update on participation by thesponsored visitor in the campaign. In embodiments, the campaign hasspecific actions and the program queries a sponsored visitor whether thesponsored visitor has completed the specific actions. In embodiments,the steps further include the step of automatically subscribing thevisitor to an ongoing email or push-messaging update about a status ofthe campaign. In embodiments, the ongoing email or push-messaging updateprovides a specific update on a sponsored visitor, wherein the visitorsubscribed to the update is a sponsor of the sponsored visitor, andwherein the update includes a status of completion of specific actionsby the sponsored visitor.

An aspect provided herein includes a method for providing a visitor to anon-profit venue a campaign participation opportunity based on aninteraction of the visitor, comprising: executing a program on a mobilecomputing device carried by the visitor, which, when executed, performsthe steps of: analyzing a path of the visitor taken through thenon-profit venue using a set of tracking systems; recording theinteraction of the visitor with a specific venue exhibit associated withan ongoing campaign; in response to detecting that the visitorinteraction with the specific venue exhibit exceeds a threshold,providing a visitor vector to a recommendation engine, wherein thevisitor vector includes data indicating that the visitor has showninterest in the specific venue exhibit associated with the campaign; andusing results output by the recommendation engine, presenting a relevantcall-to-action to the visitor to direct a portion of funds contributedby the visitor to the campaign in which the visitor has shown interest.In embodiments, the funds contributed by the visitor include acontribution in exchange for admission to the venue, and, in response tothe contribution in exchange for admission, the visitor is givenauthority to direct a virtual credit to the campaign in further responseto the relevant call-to-action. In embodiments, the steps furtherinclude communicating with a retail point-of-sale system, wherein theretail point-of-sale system presents the relevant call-to-action to thevisitor, wherein the point-of-sale system allocates a portion of fundsreceived from the visitor by the point-of-sale system to the campaign inresponse to instructions from the visitor. In embodiments, theinstructions include communicating a selection via the point-of-salesystem. In embodiments, the instructions include communicating aselection via the mobile computing device. In embodiments, the mobilecomputing device includes a digital guide. In embodiments, the stepsfurther include communicating with the visitor via a website or mobileapp, wherein the visitor is outside of the venue after the visitor hasexited the venue after the visitor has visited the venue; and thewebsite or mobile app presents the relevant call-to-action to thevisitor, wherein the website or mobile app allocates a portion of thefunds contributed by the visitor to the campaign in response toinstructions from the visitor entered via the website or mobile app. Inembodiments, the steps further include communicating with the visitorvia a website or mobile app, wherein the visitor is outside of the venuebefore the visitor has entered the venue before the visitor has visitedthe venue; and the website or mobile app presents the relevantcall-to-action to the visitor, wherein the web site or mobile appallocates a portion of the funds contributed by the visitor to thecampaign in response to instructions from the visitor entered via thewebsite or mobile app. In embodiments, the campaign is selected from thegroup consisting of a translation project, a clean water project, aneducation project, a building project, a missionary project, a disasterrelief project, a restoration project, an acquisition project andcombinations thereof. In embodiments, the recorded interaction of thevisitor with the specific venue exhibit associated with the ongoingcampaign is analyzed based on video taken of a face of the visitor. Inembodiments, the recorded interaction of the visitor with the specificvenue exhibit is analyzed using visual affect detection. In embodiments,the call-to-action is selected from the group consisting of a requestfor a donation, a request for subscription, a request to share on socialmedia, a request to provide metadata about the visitor for display on anendorsement, a request to share the campaign with others, a request tobe contacted further, a request to donate on behalf of another, arequest to sponsor an other campaign participant, a request forsponsorship by an other visitor to participate in a campaign.

An aspect provided herein includes a method for providing supplementalmedia to a visitor at a non-profit venue, comprising: executing anapplication on a mobile computing device carried by the visitor, which,when executed, performs the steps of: tracking a specific path of thevisitor through the venue using wireless beacons; tracking locationswhere the visitor stopped and waited; storing the specific path of thevisitor on a remote server; providing a digital map to the visitor onthe mobile computing device carried by the visitor; determining, fromthe specific path of the visitor stored on the remote server, whether ornot the visitor had come into proximity of certain exhibits or objectsdepicted on the digital map; and automatically assembling a multimediapresentation summarizing specific portions of the venue that the visitorvisited and presenting the multimedia presentation to the visitor. Inembodiments, the multimedia presentation is presented in an applicationrunning on the mobile computing device carried by the user. Inembodiments, the multimedia presentation is emailed to the visitor. Inembodiments, the multimedia presentation is in the form of an audiosummary provided via a voice agent system. In embodiments, themultimedia presentation is delivered on a kiosk in the venue. Inembodiments, the multimedia includes additional information about theexhibits the user has visited that was not presented at those exhibits.In embodiments, the specific portions of the venue where the visitorstopped and waited are added to a bookmark list. In embodiments, themultimedia presentation includes additional multimedia for the portionsof the venue that the visitor visited. In embodiments, the steps furtherinclude the step of automatically subscribing the visitor to an ongoingemail or push-messaging update about a status of the specific portionsof the venue on the bookmark list. In embodiments, the update includesinformation about additions, changes, an annotation by an other visitor,an observation by the other visitor, or an event regarding the specificportions of the venue on the bookmark list.

In embodiments, methods and systems for personalizing visitor experienceat a museum, zoo or other non-profit venue include providingopportunities to the visitors to solicit engagement of other visitors ofsimilar interests based on their interaction. The opportunities areprovided by a software product running a program on the mobile computingdevice carried by the visitor, which when executed performs the methodsof: analyzing the path of the visitor taken through the venue, such asusing RF beacons or other tracking systems, recording the interactionsof the visitor with specific exhibits that are associated with anongoing campaign, upon receiving input by a visitor to create a campaignrelated to an exhibit, providing the visitor with an interface to createa new campaign and provide information about the campaign, uploading thecampaign to a server, displaying information about the campaign on adisplay device in proximity to the exhibit, providing the information asan input to a recommendation engine, using the results of therecommendation engine, and presenting a relevant call-to-action to asecond visitor to participate in the campaign.

Methods and systems are provided herein for personalizing an experienceof a visitor at a venue that displays results of a plurality of projectssupported by philanthropy. Such methods and systems include determiningpersonalized information of the visitor; providing the personalizedinformation as a visitor profile to a recommendation engine; and usingthe recommendation engine, suggesting personalized experiences for thevisitor, wherein suggesting personalized experiences for the visitorincludes providing a recommendation to direct the visitor to a physicallocation where the visitor is to be presented with a donationopportunity for a project that is determined by the recommendationengine to be of interest to the visitor based on the visitor profile. Inembodiments, the venue is at least one of a museum and a zoo. Inembodiments, the personalized information includes location informationof the visitor in the venue. In embodiments, the location informationincludes a dwell time by the visitor at a set of locations at the venue.The methods and systems may further comprise using the locationinformation for a plurality of locations physically visited by thevisitor in the venue, automatically assembling a multimedia presentationcontaining content relating to the specific portions of the venue thatwere visited by the visitor. As used herein, a “physically visited”means that the visitor was bodily present at the geographical locationof the venue. Physical visitation is distinguished from virtualvisitation. In virtual visitation, a web site may be viewed, or avirtual reality experience may be used to simulate a physicalvisitation. In embodiments, the profile of the visitor is derived atleast in part by analyzing the contents of photographs taken by thevisitor within the venue. In embodiments identifying personalizedinformation of the visitor includes capturing visitor data using aplurality of capture devices selected from the group consisting ofsmartphones, cameras, biometric sensors, wireless beacons and sensornetworks and combinations thereof.

Methods and systems provided herein include a system for providing, to avisitor of a venue a campaign participation opportunity based oninteractions within the venue, including a path tracking system fordetermining a path of the visitor taken through the venue; aninteraction tracking system for determining at least one interaction ofthe visitor with at least one exhibit that is associated with an ongoingcampaign; and a recommendation engine for processing the interaction toprovide a recommendation for an action related to the campaign. Inembodiments, upon detecting that an interaction by the visitor with aspecific exhibit exceeds a threshold level of interaction, theinteraction information is provided to the recommendation engine. “Arecommendation for an action” may also be referred to herein as a“call-to-action.” In embodiments, the recommendation engine provides arelevant call-to-action to the visitor to participate in a campaign thatis related to the specific exhibit for which the interaction wastracked. In embodiments, the venue is a museum. In embodiments, thevenue is a zoo. In embodiments, tracking interactions of the visitorwith an exhibit include recording video of the face of the visitor andusing a machine learning system to analyze interactions based on thevideo of the visitor's face to determine a sentiment of the visitor withrespect to the exhibit. In embodiments, the campaign is selected fromcharitable projects in the group consisting of a translation project, aclean water project, an education project, a building project, amissionary project, a disaster relief project, a restoration project, anacquisition project, and combinations thereof. In embodiments, thecall-to-action presented to the visitor is selected from a groupconsisting of a request for donation, a request for subscription, arequest to share on social media, a request to provide metadata aboutthe visitor for display on an endorsement, a request to share thecampaign with others, a request to provide permission to be contactedfurther, a request to donate on behalf of another, a request to sponsoranother campaign participant, a request for sponsorship by another toparticipate in the campaign, and combinations thereof.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a machine learning system for learning on atraining set of photographic data or video data, the learning to trainthe machine learning system to predict a sentiment of the visitor based,at least in part, on photographic images or video images that are takenby the visitor, that are shared to the visitor, that are shared by thevisitor or that include the visitor as a subject. In embodiments, themachine learning system analyzes facial expressions and body languagecues to predict the sentiment of the visitor. In embodiments, theinformation technology platform further comprises: a camera inselectable communication with the server via the network, the camera tocapture video or still images of the visitor. In embodiments, the camerais located in the mobile device. In embodiments, the camera is affixedto a location to capture the video or still images of the visitor whenthe visitor is at a predetermined location within the non-profit venue.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a machine learning system for learning on atraining set of data, the learning to train the machine learning systemto predict a personal philanthropic interest of the visitor based on thepersonalized information about the visitor. In embodiments, theinformation technology platform further includes an interface on themobile device to receive personalized philanthropic interest dataregarding the visitor, wherein the mobile device communicates thepersonalized philanthropic interest data to the machine learning systemas at least part of the personalized information about the visitor. Inembodiments, the personalized information about the visitor isdetermined at least in part by tracking an interaction of the visitorwith an exhibit in the venue. In embodiments, tracking the interactionincludes tracking a dwell time of the visitor at a location within thenon-profit venue. In embodiments, the personalized information about thevisitor is determined at least in part by processing social mediainformation of the visitor based on an identity of the visitor.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a machine learning system for learning on atraining set of data, the learning to train the machine learning systemto predict a donation classification of the visitor based on thepersonalized information about the visitor, wherein the donationclassification of the visitor is based, at least in part, on a capacityof the visitor to donate or a propensity for the visitor to donate. Inembodiments, the information technology platform further includes aninterface on the mobile device to receive personalized philanthropicinterest data regarding the visitor, wherein the mobile devicecommunicates the personalized philanthropic interest data to the machinelearning system as at least part of the personalized information aboutthe visitor. In embodiments, the personalized information about thevisitor is determined at least in part by tracking an interaction of thevisitor with an exhibit in the venue. In embodiments, tracking theinteraction includes tracking a dwell time of the visitor at a locationwithin the non-profit venue. In embodiments, the personalizedinformation about the visitor is determined at least in part byprocessing social media information of the visitor based on an identityof the visitor.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and a machine learning system for learning on atraining set of data, the learning to train the machine learning systemto predict a recommended donation amount for the visitor based on thepersonalized information about the visitor. In embodiments, theinformation technology platform further includes an interface on themobile device to receive personalized philanthropic interest dataregarding the visitor, wherein the mobile device communicates thepersonalized philanthropic interest data to the machine learning systemas at least part of the personalized information about the visitor. Inembodiments, the personalized information about the visitor isdetermined at least in part by tracking an interaction of the visitorwith an exhibit in the venue. In embodiments, tracking the interactionincludes tracking a dwell time of the visitor at a location within thenon-profit venue. In embodiments, the personalized information about thevisitor is determined at least in part by processing social mediainformation of the visitor based on an identity of the visitor.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; a recommendationengine included in the server, wherein the recommendation engine is toreceive the personalized information about the visitor and to output asuggestion for a personalized experience for the visitor, wherein theplatform conveys the suggestion for the personalized experience to thevisitor, wherein the personalized experience is to encouragephilanthropic activity; and an analytics system to predict apersonalized philanthropic potential for the visitor based on thepersonalized information about the visitor. In embodiments, theinformation technology platform further includes an interface on themobile device to receive personalized philanthropic interest dataregarding the visitor, wherein the mobile device communicates thepersonalized philanthropic interest data to the analytics system as atleast part of the personalized information about the visitor. Inembodiments, the personalized information about the visitor isdetermined at least in part by tracking an interaction of the visitorwith an exhibit in the venue. In embodiments, tracking the interactionincludes tracking a dwell time of the visitor at a location within thenon-profit venue. In embodiments, the personalized information about thevisitor is determined at least in part by processing social mediainformation of the visitor based on an identity of the visitor.

Methods and systems provided herein include methods and systems fordeveloping content for personalized non-profit venue experiences using amobile device, including providing an interface for management of a setof multimedia assets; receiving a mapping of multimedia assets to a setof locations on a site plan for the venue; receiving topical metadatafor the set of multimedia assets; receiving personalized interest dataindicating personal philanthropic interests of a visitor to the venue;and applying a machine learning algorithm to analyze the metadata andthe personalized interest data to provide a selection of multimediaassets from the set of multimedia assets for consumption by the visitor.In embodiments, the venue is at least one of a museum and a zoo. Inembodiments, the selection of multimedia assets is provided as asequence of locations as a route based on the locations of themultimedia assets on the site plan. In embodiments, the personalphilanthropic interests of the visitor are determined at least in partby providing an interface on the mobile device for receipt ofpersonalized philanthropic interest data for the visitor to the venuewhen the visitor uses the mobile device. In embodiments, the personalphilanthropic interests of the visitor are determined at least in partby tracking an interaction of the visitor with an exhibit in the venue.In embodiments, tracking the interactions include tracking a dwell timeof the visitor at a location on the site plan. In embodiments, thepersonal philanthropic interests of the visitor are determined at leastin part by processing social media information of the visitor based onan identity of the visitor. In embodiments, the machine learningalgorithm assembles a sequence of multimedia assets based at least inpart on the personal route taken by the visitor through the site planfor the venue. In embodiments, the machine learning algorithm assemblesa sequence based at least in part on selections made by the visitor on amobile computing device. In embodiments, at least one of the set ofmultimedia assets is interactive.

In embodiments, at least one of the interactive multimedia assets isconfigured to initiate tracking of at least one of an audio, visual,tactile, and movement action of the visitor by the mobile computingdevice when the visitor comes within a defined proximity to themultimedia asset. In embodiments, the interface for management furtherprovides an interface for creating a campaign wherein information abouta campaign is displayed at a location of a multimedia asset, wherein themultimedia asset is related to the campaign. In embodiments, theinformation about the campaign is to enable a multimedia interaction topromote the campaign in response to the mobile device being detected inproximity to the multimedia asset, and wherein the visitor uses mobiledevice. In embodiments, the multimedia interaction is selected from thegroup consisting of audio conferencing, video conferencing, virtualreality conferencing, collaborative text chat, holographic conferencing,and combinations thereof. In embodiments, the interface for managementfurther provides a heat map showing paths of a plurality of visitorsthrough the venue. In embodiments, the interface for management furtherprovides an interface for creating an interactive campaign related to alocation on the site plan.

An aspect provided herein includes an information technology platformfor personalizing an experience of a visitor at a non-profit venue, theplatform comprising: a network; a server in communication with thenetwork; a mobile device to be carried by the visitor, the mobile devicein communication with the server via the network, wherein the platformdetermines personalized information about the visitor; and arecommendation engine included in the server, wherein the recommendationengine is to receive the personalized information about the visitor andto output a suggestion for a personalized experience for the visitor,wherein the platform conveys the suggestion for the personalizedexperience to the visitor, wherein the personalized experience is toencourage philanthropic activity. In embodiments, the platform furthercomprises: a ticketing system to generate credentials for authorizingentry of the visitor into the venue. In embodiments, the credentials areselected from the group consisting of passcodes, tangible media tokens,E-tickets, mobile tickets, biometric data, behavioral data andcombinations thereof. In embodiments, the mobile tickets are selectedfrom the group consisting of a mobile barcode, a QR code, an Aztecbarcode, Near Field Communication (NFC), Bluetooth low energy andcombinations thereof. In embodiments, the credentials are delivered tothe visitor via mail, e-mail, text message, or a mobile application. Inembodiments, the credentials are presented to the platform bytransferring the tangible media token, electronic communication,display, biological presence or behavioral manifestation of the visitor.In embodiments, the biometric data is selected from the group consistingof a biological image; a fingerprint; genetic data; a palm print; palmveins; an iris image; a retina image; a scent; heart rhythm; and voicedata. In embodiments, the behavioral data is selected from the groupconsisting of a gesture, typing rhythm, gait and combinations thereof.

In embodiments, the information technology platform further comprises: amobile application for accessing the platform by the visitor or by aprospective visitor. In embodiments, the information technology platformfurther comprises: a web client for accessing the platform by thevisitor or by a prospective visitor. In embodiments, the informationtechnology platform further comprises: an application programminginterface. In embodiments, the information technology platform furthercomprises: a software development kit for creating applications for theplatform.

In embodiments, the information technology platform further comprises: amanagement system for managing the platform. In embodiments, theinformation technology platform further comprises: a managementinterface for accessing the management system. In embodiments, themanagement interface is for creating an interactive campaign;information about the campaign is displayed at multiple locations orsites via the management interface; the information about the campaignis displayed simultaneously at the multiple locations or sites; andparticipants at the multiple locations interact or participate inreal-time communication via the management interface. In embodiments, aform of the real-time communication is selected from the groupconsisting of audio conferencing, video conferencing, virtual realityconferencing, augmented reality conferencing, collaborative text chat,collaborative editing and holographic conferencing. In embodiments, themanagement interface provides a heat map showing paths of a plurality ofvisitors through the venue. In embodiments, the management interface isfor creating multiple templates of multimedia asset selections orsequences. In embodiments, the management interface is for creatinginteractive campaigns related to locations in a site plan. Inembodiments, the management interface is for associating a live feed ofmultimedia to a site plan. In embodiments, the management interface isfor creating interactive campaigns and displaying multimedia relating tothe degree of progress towards a goal in the interactive campaign. Inembodiments, the management interface is for designing interactivecontent. In embodiments, a development of different assets forlocation-based kiosks and mobile applications is performed via themanagement interface. In embodiments, content for different museumlocations is developed simultaneously via the management interface.

In embodiments, the information technology platform further comprises amonitoring system. In embodiments, the information technology platformfurther comprises a reporting system. In embodiments, the visitor has asponsor; and the reporting system automatically queries the visitor andrequests an update on participation in a campaign. In embodiments, thecampaign has specific actions; and the reporting system queries thevisitor whether the visitor has completed the specific actions. Inembodiments, the visitor is automatically subscribed to an ongoing emailor push-messaging update about a status of the campaign. In embodiments,the ongoing email or push-messaging update is delivered to the sponsorand the ongoing email or push-messaging update includes a specificupdate regarding the visitor, including a status of completion of thespecific actions.

In embodiments, the information technology platform further comprises acommunication system for electronic communication among the visitor,other visitors, venue employees, and campaign representatives.

In embodiments, the information technology platform further comprises asocial networking system for digital communication between the visitorand other visitors, and for sharing information or media related to thevenue or to a campaign. In embodiments, the social networking systemincludes a search engine for the visitor to search for informationrelated to the venue or to the campaign. In embodiments, the visitor isa potential donor to a philanthropic cause; and the social networkingsystem is further for connecting the visitor to the philanthropic cause;and the social networking system includes a search engine to search fora philanthropic cause or a donor.

In embodiments, the information technology platform further comprises arating and review system for visitors to assign a rating value or toenter a review including a text or media for the venue, an exhibit orpoint of interest. In embodiments, the information technology platformfurther comprises a collaborative filtering system. In embodiments, thecollaborative filtering system is to find campaigns, exhibits, projects,or other items that are of interest to the visitor or of shared interestto a plurality of visitors. In embodiments, the collaborative filteringsystem solicits input from the visitor about a level of interest held bythe visitor over a particular topic to determine likely interest in another topic, wherein the other topic includes a particular exhibit orcampaign to be presented to the visitor or the other visitors as avisiting opportunity or as an opportunity for donation or otherphilanthropic activity.

In embodiments, the information technology platform further comprises arewards system for rewarding a rewardable behavior of the visitor with areward. In embodiments, the rewardable behavior is selected from thegroup consisting of: viewing an exhibit, object, location, orattraction; viewing multimedia; capturing a photo; augmenting a photo;capturing a video; augmenting a video; games activity; referralactivity; visiting the venue; sharing to social media; participating inendorsement; rating or reviewing the exhibit, object, location, orattraction; social network check-in; providing user data includingdemographic data, interest data, philanthropic history data or contactdata; answering questions related to an exhibit or object; retailpurchases; refreshment purchases; ticket purchases; donations; viewingcampaign information; campaign-related activity; using venue-provideddevices including wearables and sensors; and combinations thereof.

In embodiments, the reward is selected from the group consisting of:authorization to skip a queue; a discount or a free pass to the venue oran other venue; access to exclusive information or multimedia; access toexclusive exhibits or objects; free or discounted augmented photographsor videos; free or discounted retail items; free or discountedrefreshment items; free or discounted parking; game points orgame-related rewards; and combinations thereof. In embodiments, therewards system includes a software product for executing a program onthe mobile device which when executed performs the methods of: analyzinga path of the visitor taken through the venue based on data from a setof tracking systems; recording interactions of the visitor with specificexhibits that are associated with an ongoing campaign; retrieving targetlocations and multimedia hints from the platform; displaying the hintson the mobile device; confirming that the visitor has arrived at atarget location; and providing a reward notification to the visitor inresponse to the confirming that the visitor has arrived at the targetlocation.

In embodiments, the information technology platform further comprises anaugmented reality system for superimposing a computer-generated image ona visitor's view of a location, thereby causing the visitor to perceivea composite view including information related to the location. Inembodiments, the information technology platform further comprises avirtual reality system.

BRIEF DESCRIPTION OF THE FIGURES

In the accompanying figures, like reference numerals refer to identicalor functionally similar elements throughout the separate views andtogether with the detailed description below are incorporated in andform part of the specification, serve to further illustrate variousembodiments and to explain various principles and advantages all inaccordance with the systems and methods disclosed herein.

FIG. 1A is a diagrammatic view that depicts a network computingenvironment exemplary system architecture for personalizing experiencesof visitors at a venue including museum, zoo or other non-profit venuesin accordance with the present disclosure.

FIG. 1B is a perspective view that depicts examples of a visitor showinginterest in a particular exhibit at a venue while an interaction of thevisitor with the exhibit is monitored in accordance with the presentdisclosure.

FIG. 2 is a diagrammatic view that depicts methods for personalizing theexperience of a visitor at a venue such as a museum, zoo or othernon-profit venues in accordance with the present disclosure.

FIG. 3 is a diagrammatic view that depicts methods for augmenting avideo taken by a visitor at a museum, zoo or other non-profit venue inaccordance with the present disclosure.

FIG. 4 is a diagrammatic view that depicts methods for personalizing anexperience of a visitor at a venue, including presenting a campaignparticipation opportunity based on an interaction of the visitor with aspecific exhibit in accordance with the present disclosure.

FIG. 5 is a diagrammatic view that depicts methods for providingsupplemental media to the visitors of a museum, zoo or other non-profitvenue based on their interaction in accordance with the presentdisclosure.

FIG. 6 is a diagrammatic view that depicts methods for providing acustomized exhibit to a visitor of a museum, zoo or other non-profitvenue based on an interaction of the visitor with a specific venueexhibit in accordance with the present disclosure.

FIG. 7 is a diagrammatic view that depicts methods and systems foraugmenting a photograph taken by the visitor at a museum, zoo or othernon-profit venues in accordance with the present disclosure.

FIG. 8 is a diagrammatic view that depicts systems for providingsupplemental media to a visitor at a museum, zoo or other non-profitvenue in accordance with the present disclosure.

FIG. 9A is a diagrammatic view that depicts examples of a method forintroducing a visitor of a museum, zoo or other non-profit venue to anew interactive experience through personalized gamification inaccordance with the present disclosure.

FIG. 9B is diagrammatic view that depicts further examples of a methodfor introducing a visitor of a museum, zoo, or other non-profit venue toa new interactive experience through personalized gamification inaccordance with the present disclosure.

FIG. 10 is a diagrammatic view depicting examples of a systemarchitecture for personalizing an experience of a visitor at a venueincluding a museum, a zoo or other non-profit venue in accordance withthe present disclosure.

FIG. 11A is a diagrammatic view that depicts methods for developingcontent for personalized museum, zoo or other non-profit venueexperiences for a mobile device in accordance with the presentdisclosure.

FIG. 11B is a diagrammatic view that depicts examples of a heat map inaccordance with the present disclosure.

FIG. 12 is a diagrammatic view that depicts methods for providing asequence or a selection of multimedia assets for consumption by avisitor at a museum, zoo or other non-profit venue in accordance withthe present disclosure.

FIG. 13 is a diagrammatic view that depicts methods for developingrecommendations for a personalized museum, zoo or other non-profit venuevisit in accordance with the present disclosure.

FIG. 14 is a diagrammatic view that depicts methods providing visitorsof a museum, zoo or other non-profit venue campaign participationopportunities based on their interaction in accordance with the presentdisclosure.

FIG. 15 is a diagrammatic view that depicts methods for providingvisitors of a museum, zoo or other non-profit venue a campaignparticipation opportunity based on an interaction of the visitor with aspecific venue exhibit in accordance with the present disclosure.

FIG. 16 is a diagrammatic view that depicts methods for providingvisitors of a museum, zoo or other non-profit venues the opportunity tosolicit engagement of other visitors of similar interests based on theirinteraction in accordance with the present disclosure.

FIG. 17 is a diagrammatic view that depicts methods for coordinatingpersonalized experiences between cooperating museum, zoo or othernon-profit venues in accordance with the present disclosure.

FIG. 18 is a diagrammatic view that depicts methods for creatingpersonalized multi-venue museum, zoo or other non-profit venueexperiences in accordance with the present disclosure.

FIG. 19 is a diagrammatic view that depicts methods for cross-referralfor cooperating museum, zoo or other non-profit venues in accordancewith the present disclosure.

FIG. 20 is a diagrammatic view that depicts methods for automatingcontent selection for personalized museum, zoo or other non-profit venueexperiences in accordance with the present disclosure.

FIG. 21 is a diagrammatic view that depicts methods for providingcoordinated experiences between cooperating museum, zoo or othernon-profit venues in accordance with the present disclosure.

FIG. 22 is a diagrammatic view that depicts methods and systems forproviding supplemental media to a visitor at a museum, zoo or othernon-profit venue in accordance with embodiments disclosed herein.

FIG. 23 illustrates methods and systems for providing personalized venuevisit recommendations to a visitor at a museum, a zoo or othernon-profit venue in accordance with embodiments disclosed herein.

Skilled artisans will appreciate that elements in the figures areillustrated for simplicity and clarity and have not necessarily beendrawn to scale. For example, the dimensions of some of the elements inthe figures may be exaggerated relative to other elements to help toimprove understanding of the many embodiments of the systems and methodsdisclosed herein.

DETAILED DESCRIPTION

The present disclosure will now be described in detail by describingvarious illustrative, non-limiting embodiments thereof with reference tothe accompanying drawings and exhibits. The disclosure may, however, beembodied in many different forms and should not be construed as beinglimited to the illustrative embodiments set forth herein. Rather, theembodiments are provided so that this disclosure will be thorough andwill fully convey the concept of the disclosure to those skilled in theart. The claims should be consulted to ascertain the true scope of thedisclosure.

Before describing in detail embodiments that are in accordance with thesystems and methods disclosed herein, it should be observed that theembodiments reside primarily in combinations of method and/or systemcomponents. Accordingly, the system components and methods have beenrepresented where appropriate by conventional symbols in the drawings,showing only those specific details that are pertinent to understandingthe embodiments of the systems and methods disclosed herein.

All documents mentioned herein are hereby incorporated by reference intheir entirety. References to items in the singular should be understoodto include items in the plural, and vice versa, unless explicitly statedotherwise or clear from the context. Grammatical conjunctions areintended to express any and all disjunctive and conjunctive combinationsof conjoined clauses, sentences, words, and the like, unless otherwisestated or clear from the context. Thus, the term “or” should generallybe understood to mean “and/or” and so forth, except where the contextclearly indicates otherwise.

Recitation of ranges of values herein are not intended to be limiting,referring instead individually to any and all values falling within therange, unless otherwise indicated herein, and each separate value withinsuch a range is incorporated into the specification as if it wereindividually recited herein. The words “about,” “approximately,” or thelike, when accompanying a numerical value, are to be construed asindicating a deviation as would be appreciated by one skilled in the artto operate satisfactorily for an intended purpose. Ranges of valuesand/or numeric values are provided herein as examples only, and do notconstitute a limitation on the scope of the described embodiments. Theuse of any and all examples, or exemplary language (“e.g.,” “such as,”or the like) provided herein, is intended merely to better illuminatethe embodiments and does not pose a limitation on the scope of theembodiments or the claims. No language in the specification should beconstrued as indicating any unclaimed element as essential to thepractice of the embodiments.

In the following description, it is understood that terms such as“first,” “second,” “third,” “above,” “below,” and the like, are words ofconvenience and are not to be construed as implying a chronologicalorder or otherwise limiting any corresponding element unless expresslystated otherwise. The term “set” should be understood to encompass a setwith a single member or a plurality of members.

FIG. 1A provides a schematic diagram outlining the network computingenvironment with various information technology components,sub-components, circuits, modules, blocks, systems, sub-systems,software, methods, services, processes, and other elements forimplementing one or more exemplary embodiments of the methods andsystems of the current disclosure, collectively referred to in somecases herein as the “information technology platform 100,” the“platform” or the system. The information technology platform 100enables experiences of visitors 102 (referred to in the alternativeherein as guests, customers, users, or the like) at venues 104, such asnon-profit venues 104, including museums, zoos, exhibitions, parks andthe like. The information technology platform 100 may have functionsthat include creating and presenting personalized experiences forvisitors 102, such as based on personalized information of the visitors102, interests or other aspects of an individual profile for a visitor102, including philanthropic interests that may relate to the venue orto one or more exhibits, projects, or other activities of the venue 104.The information technology platform 100 may, in particular, facilitateinteractions of visitors 102 to a non-profit venue 104 that encouragephilanthropic activity, such as donations to support particularactivities, projects, items, exhibitions, or the like of the non-profitvenue.

In embodiments, the information technology platform 100 may include aserver 106 in communication with a network 110. The server 106 is incommunication with a mobile device 108 via the network 110. The mobiledevice 108 is to be carried by the visitor 102, and communicate with thenetwork 110, for example, to determine a context, location and otherpersonalized information about the visitor 102. The personalizedinformation about the visitor 102 may then be provided as an input, suchas in the form of a visitor vector, a visitor profile, a set of visitorattributes, a visitor object, or the like, to a recommendation engine112 in server 106. An output of the recommendation engine 112 may be forexample, a suggestion for a personalized experience for the visitor 102.Examples of the venue 104 include a museum 130, a zoo 132, an exhibition134, a park 138, a temporary venue 140, a retrofit installation 142, andthe like.

FIG. 1A depicts a plurality of mobile devices 108, and a plurality ofvisitors 102, and a single server 106. It is to be understood that theinformation technology platform 100 disclosed herein may include asingle server 106, or a plurality of servers 106; a single mobile device108, or a plurality of mobile devices 108; and a single visitor 102, ora plurality of visitors 102.

The information technology platform 100 may for example be to recommend,to a visitor 102, various exhibits in a venue 104 based on one or moremeasures related to the locations visited by the visitor 102 within thevenue 104, such as an amount of time the visitor 102 has spent withinspecific sections of the venue. An amount of time spent in proximity toa particular exhibit, interactions of a visitor 102 with one or morefeatures of an exhibit, interactions of one or more visitors 102 with amobile application or mobile device that has content related to thevenue or an exhibit, one or more affirmative indications of interest(such as a survey of the visitor 102) or other measure that may indicateinterest in a particular topic, exhibit, project, or activity. A moreextensive interaction may be detected when the visitor spends the mosttime in proximity to an exhibit, spends relatively more time obtainingadditional information, indicates a most favorable response to a surveyquestion, or a combination of the above. References to interactions, andto threshold levels of interactions, should be understood to encompassthese and other measures of interactions or interest of a visitor 102with a venue 104, with particular items within a venue 104, withinlocations of a venue 104, with content related to a venue (or items init), with a project, with a topic, or the like. In at least one example,if a visitor 102 is interested in impressionist art, as evidenced byspending time looking at impressionist paintings in a museum, theinformation technology platform 100 may recommend different sectionswithin the venue or another venue that contains paintings by variousimpressionist artists. In embodiments, information technology platform100 may automatically identify and recommend donation or giftingopportunities based on the personalized interests of visitor 102, suchas by presenting the opportunity to donate to an art restoration projectfor an item of impressionist art that needs restoration. It will beapparent that a wide range of personalized experiences could be providedto visitors 102 including but not limited to personalizedrecommendations, campaign participation opportunities, improvedphotography or videography services, personalized multimedia content,campaign sharing or creation opportunities, multi-venue coordination andso on.

In embodiments, a mobile device 108 can include a mobile computingdevice 108. The mobile computing device 108 can include a smartphone, atablet computer, a notebook computer, a personal digital assistant(PDA), or another type of computation or communication device that canbe carried or worn by a visitor 102. The server 106 may include a fileserver, domain server, internet server, intranet server, cloud server,print server and other variants such as secondary server, host server,distributed server and the like. The server may provide an interface toother devices including, without limitation, clients, other servers,printers, database servers, print servers, file servers, communicationservers, distributed servers, social networks, and the like. The network110 can be a collection of individual networks, interconnected with eachother and functioning as a single large network. Such individualnetworks may be wired, wireless, or a combination thereof. Examples ofsuch individual networks include, but are not limited to, Local AreaNetworks (LANs), Wide Area Networks (WANs), Metropolitan Area Networks(MANs), Wireless LANs (WLANs), Wireless WANs (WWANs), Wireless MANs(WMANs), the Internet, second generation (2G) telecommunicationnetworks, third generation (3G) telecommunication networks, fourthgeneration (4G) telecommunication networks, fifth generation (5G)telecommunication networks, and Worldwide Interoperability for MicrowaveAccess (WiMAX) networks.

As disclosed herein, the information technology platform 100 may furtherinclude a ticketing system 111 to generate credentials for authorizingentry of the visitor 102 into the venue 104. In embodiments, thecredentials are selected from the group consisting of passcodes,tangible media tokens, E-tickets, mobile tickets, biometric data,behavioral data and combinations thereof. In embodiments, the mobiletickets are selected from the group consisting of a mobile barcode, a QRcode, an Aztec barcode, Near Field Communication (NFC), Bluetooth lowenergy and combinations thereof. In embodiments, the credentials aredelivered to the visitor 102 via mail, e-mail, text message, or a mobileapplication. In embodiments, the credentials are presented to theplatform by transferring the tangible media token, electroniccommunication, display, biological presence or behavioral manifestationof the visitor. In embodiments, the biometric data is selected from thegroup consisting of a biological image; a fingerprint; genetic data; apalm print; palm veins; an iris image; a retina image; a scent; heartrhythm; and voice data. In embodiments, the behavioral data is selectedfrom the group consisting of a gesture, typing rhythm, gait andcombinations thereof.

FIG. 1B is a perspective view that depicts an example of a visitor 102showing interest in a particular exhibit 116 at a venue 104 while aninteraction of the visitor 102 with the exhibit 116 is monitored. In theexample depicted in FIG. 1B, the venue 104 is an art museum. An RFbeacon 117 and the mobile computing device 108 carried by the visitor102 work together as part of a path tracking system 114 (see FIG. 10).The path tracking system may also include a global positioning system(GPS) 127 or an indoor positioning system (IPS) 128. The path trackingsystem 114 reports through the network 110 that the visitor 102 hasstopped and waited in front of the exhibit 116 shown in FIG. 1B. In theexample depicted in FIG. 1B, the visitor 102 is stopping and waiting infront of, for example, a painting titled “Two Sisters (On the Terrace)”by Pierre-Auguste Renoir, an example of impressionism from about theyear 1881. The interaction tracking system 115 receives the report fromthe path tracking system 114 via the network 110 that the visitor 102has stopped and waited. The interaction tracking system 115 determinesthat visitor 102 has shown an interest in the exhibit 116, for example,by determining that the dwell time exceeds a threshold. The server 106combines the information from the interaction tracking system 115 withvenue data 1008 (see FIG. 10) stored on the database 202 to generatepersonalized information relating to the visitor 102. In an example, thevenue data 1008 may include that the exhibit “Two Sisters (On theTerrace)” is an example of impressionism. An example of the personalizedinformation may be that the visitor 102 shows an interest inimpressionism. Personalized information can be gathered from the camera1020, an IR camera 123, a microphone 124, a fingerprint scanner 126,and/or wearable devices including a Bluetooth earpiece 121 and a smartwatch or fitness wearable 136. A fitness wearable 136 may be a wristband, chest strap, arm band, head band, helmet, eyeglass frame, fingerring, glove, pulse oximeter, or any other device that can be temporarilyor permanently connected to the visitor for monitoring a biologicalsignal or location of the visitor 102. Examples of biological signalsmay be from physiological activity including muscular contraction (suchas heart beat or respiration). Fitness wearables 136 can monitortemperature, pulse, blood pressure, electrical resistance of the skinsurface (potentially related to perspiration), and the like. It is to beunderstood that the depictions in FIG. 1B of examples of the variouselectronic devices such as the camera 1020, IR camera 123, microphone124, and various wearable devices are not limitative in quantity,location, or configuration. For example, cameras, microphones, andsensors can be located at each exhibit throughout the venue 104. Inexamples, the cameras, microphones, and other sensors may be configuredto be smaller than shown. Some CCD cameras and miniature microphones maybe nearly visually undetectable to the casual observer. The RF beaconand other transmitters or receivers may share functionality with otheritems such as smoke detectors, emergency lights, wall plates,directional signage, or informational placards. Such electronic devicesmay be hidden behind fasciae, 2-way mirrors, or other devices forconcealing the electronic devices. After the visitor 102 has beenidentified, any personal information accessible on the internet 129 maybe collected and used by the platform. The personalized information isreported to a recommendation engine 1030 (FIG. 10) or 112 (FIG. 1A). Therecommendation engine 112 may be in the server 106. Using results of therecommendation engine, a personalized recommendation may be made via themobile computing device 108 carried by the visitor 102. For example, themobile computing device 108 may present a map to certain other exhibits116 that are examples of impressionism. FIG. 1B includes an inset viewshowing the mobile computing device 108 in the left hand of the visitor102. The inset view is enlarged to show that a map is displayed on thedisplay screen of the mobile computing device 108. The inset view alsoshows that the visitor 102 is wearing a fitness wearable 136; in FIG.1B, the fitness wearable 136 is a fitness wrist band. A call-to-actionto visitor 102 to donate to restoration of the frame for a painting byimpressionist Claude Monet may be communicated to the visitor 102. Thusexamples of the information technology platform 100 disclosed herein mayenhance an experience of the visitor 102 by directing the visitor 102 toexhibits similar to an exhibit which the visitor 102 has shown aninterest. Further, examples of the information technology platform 100do not waste resources or visitor time and good will by presenting acampaign in which the visitor has a lower relative interest.

In embodiments, the mobile computing device 108 carried by the visitor102 can communicate with one or more wireless beacons or trackingsystems proximate to the venue 104 while the visitor 102 is queuing toenter the venue 104. In other words, communication between the mobilecomputing device 108 and the system 100 can begin before the visitor 102enters the venue 104. For example, when the visitor 102 is in a vehicle(not shown), the mobile computing device 108 may communicate thelocation and speed of the visitor 104. Such information may be used bythe system to facilitate a quick and easy entry into the venue 104. Thevisitor 102 may be more philanthropically inclined after having beenwelcomed by name without having to wait in a queue. It is also possiblefor the system 100 to use a camera at the parking lot to recognize thevisitor's vehicle based on a license plate and data from a previousvisit. The system 100 may use a face recognition module 1040 (see FIG.10) to identify the visitor 102 as the visitor 102 approaches the venue104. The system 100 may include a provisioning module 1050 (see FIG. 10)for activating a portable digital guide. Thus, the venue 104 can supplythe portable digital guide pre-loaded with capabilities that may not beavailable on the mobile phone carried by the visitor 102. The system 100may include an entry module running on a portable device for identifyingand checking in visitors. The system 100 can further include anotification module 1048 for notifying venue workers about the expectedarrival of the visitor 102. The notification module 1048 is toautomatically notify the provisioning module 1050 to provision anavailable digital guide by pre-filling the available digital guide withpersonalized visitor information, and to notify at least one of thevenue workers to retrieve the digital guide and to meet the visitor 102at an entry location where the visitor 102 is expected to enter thevenue 104.

FIG. 2 illustrates methods and systems for personalizing the experienceof a visitor at a venue 104 such as a museum, zoo or other non-profitvenue that displays results of a plurality of projects supported byphilanthropy in accordance with embodiments of the systems and methodsdisclosed herein. At 202, personalized information of a visitor 102 isdetermined including context, location and other such personalizedinformation. At 204, such personalized information is provided as avisitor profile to a recommendation engine 112, such as a recommendationengine 112 enabled on the server 106. At 206, an output of therecommendation engine is used to suggest personalized experiences to thevisitor 102 wherein the suggesting personalized experiences for thevisitor 102 includes providing a recommendation to direct the visitor102 to a physical location where the visitor 102 is to be presented witha donation opportunity for a project that is determined by therecommendation engine to be of interest to the visitor 102 based on thevisitor profile.

FIG. 3 illustrates methods and systems for augmenting a video taken by avisitor at a museum, a zoo or other non-profit venue in accordance withembodiments of the systems and methods disclosed herein. At 301, themethod includes “executing an application on a mobile computing devicecarried by the visitor, which, when executed, performs the steps of:” At302, the method includes analyzing an original video taken by thevisitor to determine locations of subjects of the original video. At304, the method includes determining a set of characteristics of theoriginal video. At 306, the method includes accessing digital imageryfrom a database of high-resolution imagery of the venue. At 308, themethod includes creating a high-resolution motion path sequence ofimages having a corresponding set of characteristics to those of theoriginal video by using the digital imagery from the database. At 310,the method includes masking the original video based on differencesbetween the high-resolution motion path sequence of images and theoriginal video taken by the visitor. At 312, the method includescompositing the original video with the high-resolution motion pathsequence of images to create a high-resolution composite video. Inembodiments, the high-resolution imagery includes a 3D model of thelocations of the subjects. In embodiments, the high-resolution imagerycontains 3-dimensional metadata. In embodiments, the high-resolutionimagery includes video. In embodiments, the high-resolution imageryincludes a light-field photographic image. In embodiments, the methodfurther includes re-shading images of human subjects captured in theoriginal video to blend with the high-resolution imagery from thedatabase. In embodiments, the method further includes providing thehigh-resolution composite video to the visitor 102 on a website orwithin the application on the mobile computing device 108 carried by thevisitor 102. In embodiments, the set of characteristics includes atleast one of location, orientation, lighting, and motion pathcharacteristics.

FIG. 4 illustrates methods and systems for personalizing an experienceof a visitor at a venue. At 401, the method includes “executing anapplication on a mobile computing device carried by the visitor, which,when executed, performs the steps of:” At 402, the method includesanalyzing a path of the visitor 102 taken through venue 104 based ondata from a set of tracking systems. At 404, the method includesrecording an interaction of the visitor 102 with a specific exhibit orother item associated with an ongoing campaign. Then, at 406, the methodincludes, upon detecting that an interaction by the visitor with thespecific exhibit or other item exceeds a threshold, providingpersonalized information relating to the visitor to a recommendationengine. At 408, using results of the recommendation engine, presenting arelevant call-to-action to the visitor 102 to participate in thecampaign. In embodiments, a software product running a program on themobile computing device carried by visitor, when executed performs someor all of the methods disclosed. In embodiments, the personalizedinformation includes a feature vector or visitor profile. Inembodiments, the campaign is a charitable project selected from thegroup consisting of a translation project, a clean water project, aneducation project, a building project, a missionary project, a disasterrelief project, a restoration project, an acquisition project, andcombinations thereof. In embodiments, the call-to-action presented tothe visitor is selected from the group consisting of a request for adonation, a request for a subscription, a request to share on socialmedia, a request to provide metadata about the visitor 102 for displayon an endorsement, a request to share the campaign with others, arequest to be contacted further, a request to donate on behalf ofanother, a request to sponsor another campaign participant, and arequest for sponsorship by another to participate in the campaign, andcombinations thereof.

In embodiments, the recorded interaction of the visitor 102 with thespecific exhibit or other item is analyzed based on a video taken of aface of the visitor 102. In embodiments, the interaction of the visitor102 with the specific exhibit or other item is analyzed based on visualaffect detection. As used herein, visual affect detection meansdetection of emotion or sentiment of a visitor 102 through analyzingfacial expressions and/or body language. In embodiments, thecall-to-action is presented in response to the visitor 102 requestingadditional information about a campaign. In embodiments, the campaignhas a set of goals, and the application shows a degree of achievement ofthe set of goals in a graphical form. In embodiments, the method furtherincludes automatically subscribing the visitor 102 to an ongoing emailor push-messaging update about a status of the campaign.

FIG. 5 illustrates methods and systems for providing supplemental mediato a visitor at a non-profit venue. At 501, the method includes“executing an application on a mobile computing device carried by thevisitor, which, when executed, performs the steps of:” At 502, themethod includes tracking a specific path of the visitor 102 through thevenue 104 wireless beacons. At 504, the method includes trackinglocations where the visitor 102 stopped and waited. At 506, the methodincludes storing the specific path of the visitor 102 on a remote server108. At 508, the method includes providing a digital map to the visitoron the mobile computing device 106 carried by the visitor 102. At 510,the method includes determining, from the specific path of the visitorstored on the remote server, whether or not the visitor had come intoproximity of certain exhibits or objects depicted on the digital map. At512, the method includes automatically assembling a multimediapresentation summarizing specific portions of the venue that the visitor102 visited and presenting the multimedia presentation to the visitor.In embodiments, the supplemental media is provided by a software productrunning a program on the mobile device 108 carried by the visitor 102,which when executed performs of the method.

In some examples, the amount and type of information collected andpresented in the multimedia presentation on particular topics may bealigned with the amount of time or the extent of interaction with items,such as exhibits, that correspond to those topics. For example, if avisitor 102 has spent less than a minute in front of most exhibits in amuseum, but then spends ten minutes viewing a particular archeologicalartifact, then the multimedia presentation may be configured to providemedia content related to the artifact, to the location where theartifact was discovered, to the culture represented by the artifact, tothe era of the artifact, to the type of the artifact, or other sets ofattributes of the artifact. Such information may be retrieved from acurated library of information for the items in a venue, as well as fromexternal information sources, such as by configuring searches of publicdatabases and data sources (including the internet) to retrieveadditional information based on the attributes of the item of interest.In embodiments, the multimedia presentation may present informationabout a campaign, project or activity related to the item that is ofinterest, such as, in the examples of artifacts, information about anarcheological dig that may benefit from philanthropic support by thevisitor 102 or by a person known to the visitor 102. In embodiments, themultimedia presentation is presented in an application running on themobile computing device 108 carried by visitor 102. In embodiments, themultimedia presentation is emailed to the visitor 102. In embodiments,the multimedia presentation is delivered on a kiosk in the venue. Inembodiments, the multimedia presentation is in the form of an audiosummary provided via a voice agent system. In embodiments, themultimedia includes additional information about the exhibits thevisitor 102 visited that was not presented at those exhibits. Suchinformation may include, for example, high-resolution imagery, video,captioning, textual data, live video feed, or donation information. Inembodiments, the specific portions of the venue where the visitor 102stopped and waited are added to a bookmark list. In embodiments, themultimedia presentation includes additional multimedia for the portionsof the venue that the visitor visited. In embodiments, the methodincludes the step of automatically subscribing the visitor to an ongoingemail or push-messaging update about a status of the specific portionsof the venue on the bookmark list. In embodiments, the update includesinformation about additions, changes, an annotation by an other visitor,an observation by the other visitor, or an event regarding the specificportions of the venue on the bookmark list. In embodiments, a multimediapresentation for a visitor 102 is automatically updated after a visit,such as with additions, changes, updates or other events regarding theitems of interest, as well as annotations or observations by othervisitors 102 and the like. Updating may occur as a result of pushinginformation when updates occur to the media sources used to configure amultimedia presentation, or the information technology platform 100 maybe configured to periodically pull information based on the content of amultimedia presentation that was configured to relate to the interest ofthe visitor 102 as reflected by interactions of the types describedthroughout this disclosure.

FIG. 6 illustrates methods and systems for personalizing an experienceof a visitor at a non-profit venue. As depicted at 601, the methodincludes “executing an application on a computing device, which, whenexecuted, performs the steps of:” At 602, the method includes analyzinga path of the visitor taken through the non-profit venue using a set oftracking systems. Any suitable location or path tracking system may beused, for example, access points, NFC detectors, an indoor GPS system,or the like. At 604, the method includes recording an interaction of thevisitor 102 with a specific venue exhibit associated with an ongoingcampaign. At 606, the method includes retrieving demographic informationrelated to the visitor from a database. In embodiments, demographicinformation may be obtained from other sources, such as social mediapages of the visitor 102, as determined by the identity of the visitor102, such as determined at the point of check-in, ticketing or the likefor the visitor 102 for the venue. At 608, the method includes providinga visitor vector to a recommendation engine, wherein the visitor vectorincludes the demographic information related to the visitor, wherein apersonalized multimedia presentation is personalized to the visitor andpresented to the visitor during the interaction of the visitor with thespecific venue exhibit based on results output by the recommendationengine. In embodiments, the personalized multimedia presentation ispresented in an application running on a mobile computing device carriedby the visitor 102 separately from the venue exhibit. In such anembodiment, the computing device is the mobile computing device carriedby the visitor 102. In embodiments, the specific exhibit includes akiosk that presents the personalized multimedia presentation. Inembodiments, the personalized multimedia presentation displays a name ofthe visitor 102 or other information related to the visitor 102. Inembodiments, the personalized multimedia presentation is personalizedbased on an education level, income level, language, developmentalstatus, or age of the visitor 102. In embodiments, the developmentalstatus of the visitor 102 indicates that the visitor 102 is a child. Inembodiments, the visitor vector includes recorded visitor interactiondata; the recorded visitor interaction data includes records ofinteractions of the visitor with a venue exhibit other than the specificvenue exhibit; the recorded visitor interaction data demonstrates adegree of interest of the visitor in categories of information conveyedby the venue exhibit; the personalized multimedia presentation ispersonalized based on the categories of information in which the visitorhas demonstrated a greater interest based on the recorded visitorinteraction data from the interactions of the visitor with the venueexhibit other than the specific venue exhibit. In embodiments, thecategories of information are selected from the group consisting ofhistory, pictures, people, current activities and combinations thereof.In embodiments, the personalized multimedia presentation includesaugmented reality.

FIG. 7 illustrates methods and systems for augmenting a photograph takenby a visitor at a museum, zoo or other non-profit venue in accordancewith embodiments of the present disclosure. As depicted at 701, themethod includes “executing an application on a mobile computing devicecarried by the visitor, which, when executed, performs the steps of:” At702, the method includes analyzing an original photograph taken by thevisitor to determine a location of a subject of the original photograph.At 704, the method includes determining a set of characteristics of theoriginal photograph. At 706, the method includes accessing digitalimagery from a database of high-resolution imagery of the venue. At 708,the method includes creating a high-resolution digital image having acorresponding set of characteristics to those of the original photographby using the digital imagery from the database. At 710, the methodincludes masking the original photograph based on differences betweenthe high-resolution digital image and the original photograph taken bythe visitor. At 712, the method includes compositing the originalphotograph with the high-resolution digital image to create ahigh-resolution composite photograph. In embodiments, thehigh-resolution imagery includes a 3D model of the location of thesubject. In embodiments, the high-resolution imagery contains3-dimensional metadata. In embodiments, the high-resolution imageryincludes video. In embodiments, the high-resolution imagery includes alight-field photographic image. In embodiments, the method furtherincludes reshading images of human subjects captured in the originalphotograph to blend with the high-resolution imagery from the database.In embodiments, the method further includes providing thehigh-resolution composite photograph to the visitor on a website orwithin the application on the mobile computing device carried by thevisitor 102. In embodiments, the techniques of the method are utilizedfor augmenting videos taken by the visitor at a venue with professionalvideography and for creating synthetic videography.

FIG. 8 illustrates methods and systems 100 for providing supplementalmedia to a visitor 102 at a non-profit venue 104 in accordance withembodiments of the systems and methods disclosed herein. In embodiments,the supplemental media is provided by a software product 120 running aprogram on the mobile computing device 108 carried by visitor 102, whichwhen executed performs steps 800 of the method. At 802, the stepsinclude analyzing photographs taken by the visitor 102. At 804, thesteps include accessing digital imagery from a database ofhigh-resolution imagery of the venue 104. At 806, the steps includematching the photographs taken by the visitor 102 to the high-resolutionimagery to identify a location in the venue 104 of an exhibit depictedin the photographs. At 808, the steps include creating archivableregions in stored imagery allocated to the visitor 102. At 810, thesteps include allowing the visitor 102 to activate the archivableregions to retrieve additional information about the exhibit depicted inthe photographs. In embodiments, the additional information includes acall-to-action allowing the visitor 102 to participate in a fundraisingcampaign. In embodiments, the additional information includes acall-to-action allowing the visitor to share a fundraising campaign withan other visitor. In embodiments, the additional information includes acall-to-action allowing the visitor to provide personal information or aphotograph to be shared in a virtual wall relating to the set ofexhibits. In embodiments, the additional information is selected fromthe group consisting of high-resolution imagery, video, captioning,textual data, live video feed, donation information, and combinationsthereof. In embodiments, the additional information includes suggestionsof other exhibits popular with people who took photographs of theexhibit.

FIG. 9A illustrates methods and systems for providing a visitor to anon-profit venue a campaign participation opportunity based on aninteraction of the visitor in accordance with embodiment of the presentdisclosure. In embodiments, the method may also be called“gamification”. As depicted at 901, the method includes “executing aprogram on a mobile computing device carried by the visitor, which, whenexecuted, performs the steps of:” At 902, the method includes analyzinga path of the visitor 102 taken through the non-profit venue 104 using aset of tracking systems. At 904, the method includes recording theinteraction of the visitor 102 with a specific venue exhibit associatedwith an ongoing campaign. At 906, the method includes retrieving a setof target locations and multimedia hints from a server 106. At 908, themethod includes displaying the multimedia hints on the mobile computingdevice 108. At 910, the method includes confirming that the visitor hasarrived at at least one target location in the set of target locationsand, at 912, the method includes conveying a reward notification to thevisitor in response to each target location that the program hasconfirmed as having been visited by the visitor 102. It is to beunderstood that, although the steps in FIG. 9A are depicted in asequence, the steps may occur in any possible order, and steps may berepeated. For example, the specific venue exhibit associated with anongoing campaign (see step 904) may be the same as the at least onetarget location (see step 910). Thus, the systems and methods disclosedherein may use gamification to encourage the visitor 102 to interactwith an exhibit associated with an ongoing campaign. As shown in FIG. 15at 1506 and 1508, embodiments may include: in response to detecting thatthe visitor interaction with the specific venue exhibit exceeds athreshold, providing a visitor vector to a recommendation engine,wherein the visitor vector includes data indicating that the visitor hasshown interest in the specific venue exhibit associated with thecampaign; and, using results output by the recommendation engine,presenting a relevant call-to-action to the visitor 102. In embodiments,the confirming that the visitor has arrived at at least one targetlocation in the set of target locations, further includes: conveying aquestion to the visitor 102, wherein information for a correct responseto the question is located at the at least one target location;receiving an input in response to the question from the visitor 102 viathe mobile computing device 108; comparing the input in response to thequestion from the visitor 102 to a correct answer received from theserver 106; and verifying that the input in response to the questionfrom the visitor 102 matches the correct answer received from the server106. In embodiments, the confirming that the visitor 102 has arrived atat least one target location in the set of target locations furtherincludes scanning a QR code using a camera wherein the camera is locatedin the mobile computing device 108. In embodiments, the confirming thatthe visitor 102 has arrived at at least one target location in the setof target locations, further includes accepting a picture of the atleast one target location taken on a camera wherein the camera islocated in the mobile computing device; and using image recognition tocompare the picture to an image retrieved from a server 106.

FIG. 9B illustrates methods and systems for providing a visitor to anon-profit venue a campaign participation opportunity based on aninteraction of the visitor in accordance with embodiment of the presentdisclosure. In embodiments, the method may also be called“gamification”. As depicted at 951, the method includes executing aprogram on a mobile computing device 108 carried by the visitor 102. At952, the method includes analyzing a path of the visitor 102 takenthrough the non-profit venue 104 using a set of tracking systems. InFIG. 9B, the set of tracking systems is represented by, for example, RFbeacons 117. At 954, the method includes retrieving a set of targetlocations and multimedia hints from a server via a network 110 into themobile computing device 108. At 956, the method includes displaying themultimedia hints 131 on the mobile computing device 108. At 958, themethod includes confirming that the visitor has arrived at at least onetarget location in the set of target locations. At 958, an RF beacon 117detects proximity of the mobile computing device 108 to the targetlocation. At 960, the method includes conveying a reward notification tothe visitor 102 in response to each target location that the program hasconfirmed as having been visited by the visitor 102. For example, thereward may be free or discounted ice cream. In embodiments, usingresults output by the recommendation engine, a relevant call-to-actionis presented to the visitor 102 to direct a portion of funds contributedby the visitor 102 to the campaign in which the visitor 102 has showninterest. At 962, the visitor 102 is presented with an update about astatus of the campaign, including a donor honor roll that includes thename of the visitor 102. At 964, the visitor 102 is shown enjoying theice cream cone 133 that the visitor 102 received as a reward.

FIG. 10 depicts an example of a system architecture for personalizing anexperience of a visitor 102 at a venue including a museum, a zoo orother non-profit venue in accordance with embodiments of the systems andmethods disclosed herein. The system 100 includes server 106 thatinteracts with mobile computing devices 108 carried by visitors 102 overa network 110 to suggest personalized experiences to visitors 102including personalized recommendations, campaign participationopportunities, personalized multimedia content, improved photography orvideography services, campaign sharing or creation opportunities,multi-venue coordination and so on. The example of the mobile computingdevice 108 depicted in FIG. 10 includes a processor 1026, memory 1024, anetwork interface 135, and a GPS receiver 137 connected to perform thefunctions of the mobile computing device 108 described herein. The GPSReceiver 137 is to receive information from GPS satellites 127 (see FIG.1B) and to calculate the geographical position of the GPS Receiver 137for location, navigation, and tracking. The system 100 also includes adatabase 1002 for storing a variety of data including visitor profiledata 1004, campaign data 1006, venue data 1008, image data 1010, videodata 1012 and location data 1014. Further, the system 100 includesmultiple subsystems helping capture visitor information, for example, RFbeacon subsystem 1016, sensor subsystem 1018, camera subsystem 1020 andkiosk subsystem 1022. Server 106 includes memory 1024, processor 1026,peripherals interface 1028, recommendation engine 1030, image processingmodule 1032, video processing module 1034, natural language processingmodule 1036, machine learning system 1038, face recognition module 1040,management interface 1042, Augmented Reality/Virtual Reality (AR/VR)module 1044, gamification module 1046, notification module 1048 andprovisioning module 1050. The processor may be any kind of computationalor processing device capable of executing program instructions, codes,binary instructions and the like. Memory 1024 may include flash memory,buffer, stack, Random Access Memory (RAM), Read-Only Memory (ROM),dynamic memory, static memory, read/write storage, mutable storage, readonly, random access, sequential access, location addressable, fileaddressable, content addressable, network attached storage, storage areanetwork, bar codes, magnetic ink, and the like. Processor 1026 mayinclude signal processor, digital processor, embedded processor,microprocessor or any variant such as a math co-processor, graphicco-processor, communication co-processor and the like that may directlyor indirectly facilitate execution of program code or programinstructions stored thereon. Peripherals interface 1028 provide aninterface of server 106 with other subsystems including RF beaconsubsystem 1016, sensor subsystem 1018, camera subsystem 1020 and kiosksubsystem 1022.

FIG. 11A illustrates methods and systems for developing content forpersonalized museum, zoo or other non-profit venue experiences using amobile device in accordance with embodiments of the systems and methodsdisclosed herein. At 1102, the method includes providing an interfacefor management of a set of multimedia assets. At 1104, the methodincludes receiving a mapping of multimedia assets to a set of locationson a site plan for the venue. At 1106, the method includes receivingtopical metadata for the set of multimedia assets. At 1108, the methodincludes receiving personalized interest data indicating personalphilanthropic interests of a visitor to the venue. At 1110 the methodincludes applying a machine learning algorithm to analyze the metadataand the personalized interest data to provide a selection of multimediaassets from the set of multimedia assets for consumption by the visitor.In embodiments, the machine learning system assembles a sequence ofmultimedia assets based at least in part on a personal route taken bythe visitor through the site plan for the venue. In embodiments, themachine learning system assembles a sequence and/or selection based atleast in part on selections made by the visitor on a mobile computingdevice. In embodiments, at least one of the set of multimedia assets isinteractive. In embodiments, at least one of the interactive multimediaassets is configured to initiate tracking of at least one of an audio,visual, tactile, and movement action of the visitor by the mobilecomputing device when the visitor comes within a defined proximity tothe multimedia asset. In embodiments, the management interface furtherprovides an interface for creating a campaign wherein information aboutthe campaign is displayed at a location of a multimedia asset, whereinthe multimedia asset is related to the campaign. In embodiments, theinformation about the campaign is to enable a multimedia interaction topromote the campaign in response to the mobile device being detected inproximity to the multimedia asset, and wherein the visitor uses themobile device. In embodiments, the information about the campaign isdisplayed simultaneously at different locations and/or sites and wherethe visitors at the different locations can interact or communicate witheach other in real time. In embodiments, the multimedia interaction isselected from the group consisting of audio conferencing, videoconferencing, virtual reality conferencing, collaborative text chat,holographic conferencing and combinations thereof. In embodiments, theinterface for management further provides a heat map showing paths of aplurality of visitors through the venue. (An example of a heat map isprovided in FIG. 11B.) In embodiments, the management interface furtherprovides an interface for creating multiple templates of multimediaasset selections or sequences. In an example, the multimedia assetselections or sequences may include playlists. In embodiments, theinterface for management further provides an interface for creating aninteractive campaign related to a location on the site plan. Inembodiments, the interface for management further provides an interfacefor associating a live feed of multimedia to a site plan. Inembodiments, the interface for management further provides an interfacefor creating an interactive campaign and displaying multimedia relatingto a degree of progress towards a goal in the interactive campaign. Inembodiments, the interface for management further provides an interfacefor designing interactive content. In embodiments, the interface formanagement allows for the development of different assets forlocation-based kiosks and mobile applications. In embodiments, theinterface for management enables development of content for differentvenue locations simultaneously. In embodiments, the locations in thesite plans are associated with a wireless beacon.

FIG. 11B is a diagram depicting an example of a heat map in accordancewith the present disclosure. FIG. 11B depicts an example of a site planfor a venue 104 with heat map isotherms 122 superimposed thereon. Inexamples, any number of exhibits 116 may be located in a venue 104;however, two exhibits 116 are shown in FIG. 11B to simplify the diagram.In the example depicted in FIG. 11B, a reception/registration counter109 is shown opposite an entrance 107 in an entrance hall 113. In theexample, RF beacons 117 are depicted throughout the venue 104 as part ofa path tracking system 114 (see FIG. 10). It is to be understood thatalthough a heat map may actually convey temperature information, theheat map isotherms 122 may convey any gradient data on the map. The heatmap isotherms may depict actual hot zones and cold zones on a site plan(for example, for use in controlling air temperature); however, the heatmap may depict areas where there is a greater density of visitor trafficas being “hotter”. When color is used, typically hotter areas, or hightraffic areas, may be depicted using red or any suitable color. Asstated herein above, heat maps may be used to convey any data wherethere is a gradient on a map. For example, a heat map may be used todepict areas in a venue where visitors show greater interest; areaswhere visitors spend more time; or areas where visitors are moregenerous with philanthropy. According to the present disclosure, heatmaps may also be used in crowd management. For example, where an area ofa venue 104 becomes too congested with visitors, a heat map may helpprioritize where additional traffic guides may be allocated; prioritizewhere additional air-conditioning may be supplied; or help determinethat the congested area should be avoided in personalized routerecommendations.

FIG. 12 illustrates methods and systems for developing content forpersonalized non-profit venue experiences using a mobile device inaccordance with embodiment of the systems and methods disclosed herein.At 1202, the method includes providing a management interface formanagement of a set of multimedia assets. At 1204, the method includesreceiving a mapping of multimedia assets to a set of locations on a setof site plans for the venue. At 1206, the method includes receivingtopical metadata for the set of multimedia assets. At 1208, the methodincludes providing an interface for receiving data indicating personalphilanthropic interests of a visitor to the venue, wherein the dataindicating personal philanthropic interests of the visitor to the venueincludes visitor-provided preference data and passively-collectedvisitor interaction data. At 1210 the method includes applying a machinelearning system to analyze the metadata and the data indicating personalphilanthropic interest of the visitor to provide a sequence or aselection of multimedia assets for consumption by the visitor. Inembodiments, the machine learning system assembles a sequence orselection based at least in part on a personal route taken by thevisitor through at least one of the site plans in the set of site plans.In embodiments, the machine learning system generates a memory book forthe visitor subsequent to a visit to the venue, wherein the memory bookis based in part on a personal route taken by the visitor through atleast one of the site plans in the set of site plans. In embodiments, aweb interface is to give the visitor access to the memory book. Inembodiments, a mobile app is to give the visitor access to the memorybook. In embodiments, the machine learning system assembles a sequenceor selection based at least in part on visitor selections made at thevenue. In embodiments, at least one of the multimedia assets is aninteractive multimedia asset. In embodiments, the interactive multimediaasset is assigned to use an audio, visual, tactile, or movement capturedevice associated with a location in the venue. In embodiments, themanagement interface further provides an interface for creating aninteractive campaign; information about the interactive campaign isdisplayed at a plurality of locations or sites; the information aboutthe interactive campaign is displayed simultaneously at the plurality oflocations or sites; and visitors at the plurality of locations or siteshave access to real-time interaction or real-time communication witheach other. In embodiments, a mode of the real-time communication isselected from the group consisting of audio conferencing, videoconferencing, virtual reality conferencing, collaborative text chat,holographic conferencing, and combinations thereof. In embodiments, atleast one location in the set of locations on the set of site plans isassociated with a wireless beacon. In embodiments, the managementinterface further provides a heat map showing paths of visitors throughthe venue. In embodiments, the management interface further provides aninterface for creating a plurality of templates for multimedia assetselections or sequences. In embodiments, the management interfacefurther provides an interface for creating an interactive campaignrelated to at least one location in the set of locations on the set ofsite plans for the venue. In embodiments, the management interfacefurther provides an interface for associating a live feed of multimediato a site plan. In embodiments, the management interface furtherprovides an interface for creating interactive campaigns and displayingmultimedia relating to the degree of progress towards a goal in theinteractive campaign. In embodiments, the management interface furtherprovides an interface for creating an interactive campaign anddisplaying multimedia to convey a degree of progress towards a goal inthe interactive campaign. In embodiments, the management interfacefurther provides an interface for designing interactive content. Inembodiments, the management interface further provides for thedevelopment of different assets for location-based kiosks and mobileapplications. In embodiments, the management interface further providesfor a simultaneous development of content for a plurality of venues. Inembodiments, the machine learning system generates a memory book for thevisitor subsequent to a visit to the venue; the memory book has digitalassets coordinated in part based on a personal route taken by thevisitor through at least one of the site plans in the set of site plans;or the memory book has digital assets coordinated in part based onvisitor input.

FIG. 13 illustrates methods and systems for developing recommendationsfor a personalized venue visit at a non-profit venue, in accordance withembodiments disclosed herein. At 1302, the method includes providing amanagement interface for management of a set of multimedia assets. At1304, the method includes receiving a mapping of multimedia assets tospecific physical or virtual displays in at least one site plan. At1306, the method includes receiving topical metadata for the set ofmultimedia assets. At 1308, the method includes providing an interfacefor receiving data indicating personal interests of a visitor to thevenue, wherein the data indicating personal interests of the visitor tothe venue includes a set of data selected from among visitor-providedpreference data, passively-collected visitor interaction data, andvisitor route data. At 1310, the method includes receiving personalinterest data for a plurality of venue visitors. At 1312, the methodincludes receiving preference data relating to a prospective visitor. At1314, the method includes applying a machine learning system to analyzethe metadata, the data indicating personal interests of the visitor, thepersonal interest data for the plurality of venue visitors, and thepreference data relating to the prospective visitor. At 1316, the methodincludes generating a selection or sequence of venue locationrecommendations for the prospective visitor. In embodiments, thepersonal interest data is collected from visitor visits across aplurality of non-profit venues. In embodiments, the preference datarelating to the prospective visitor is collected for multiple venues. Inembodiments, the preference data relating to the prospective visitor iscollected at a non-profit venue. In embodiments, the preference datarelating to the prospective visitor is derived from informationcollected on the prospective visitor based on a prior visit by theprospective visitor to a non-profit venue. In embodiments, thepreference data relating to the prospective visitor is derived frominformation collected on the prospective visitor based on the route dataof the prospective visitor through a non-profit venue during a previousvisit to the non-profit venue. In embodiments, the preference data forthe prospective visitor is collected using a mobile application. Inembodiments, the preference data for the prospective visitor iscollected based on indications of interest. In embodiments, theindications of interest are collected through gaze analysis. Inembodiments, the indications of interest are collected through visualanalysis via a plurality of cameras. In embodiments, the indications ofinterest are provided by the prospective visitor. In embodiments, thepreference data for the prospective visitor is generated from visitorinformation collected from a visitor unrelated to the non-profit venue.In embodiments, the visitor route data is collected using a mobileapplication. In embodiments, the visitor route data is collected usingwireless beacons. In embodiments, the visitor route data is collectedusing cameras. In embodiments, the visitor route data is collected usingbiometric sensors. The biometric sensors may include one or morewearable devices, such as wearable devices containing accelerometers,biometric sensors or other sensors. In embodiments, the visitor routedata is collected using a sensor network, which may include a sensornetwork that includes a set of mobile devices, such as of othervisitors, workers for a venue, or the like. In embodiments, the visitorroute data is collected by tracking visitor interaction with venuedisplays. In embodiments, the visitor route data is collected bytracking visitor use of a venue guide device.

FIG. 14 illustrates methods and systems providing visitors of a museum,zoo or other non-profit venue campaign participation opportunities basedon their interaction in accordance with embodiments disclosed herein. Asdepicted at 1401, the method includes “executing a program on a mobilecomputing device carried by the visitor, which, when executed, performsthe steps of:” At 1402, the method includes analyzing a path of thevisitor taken through the non-profit venue using RF beacons or othertracking systems. At 1404, the method includes recording the interactionof the visitor with a specific venue exhibit associated with an ongoingcampaign. At 1406, the method includes in response to detecting that thevisitor interaction with the specific venue exhibit exceeds a threshold,providing a visitor vector to a recommendation engine 112, wherein thevisitor vector includes data indicating that the visitor has showninterest in the campaign. At 1408, the method includes using resultsoutput by the recommendation engine 112, matching the visitor 102 to another visitor interested in participating in a similar campaign. At1410, the method includes presenting a relevant call-to-action to thevisitor to communicate with the other visitor via the program.

In embodiments, communication between the visitor and the other visitorfacilitates a sponsorship relationship between the visitor and the othervisitor. In some examples, one visitor may offer the opportunity for theother visitor to select a campaign, or an aspect of a campaign, to whicha donation by the one visitor will be directed. In embodiments, thevisitor is presented with a list of potential campaign participantsalong with additional information about the other visitors and goals ofthe other visitors for the campaign. In embodiments, visitors 102 may beconnected based on their similarity, such as based on a clusteringalgorithm, a similarity calculation, or the like, such as applied to aset of attributes for each visitor 102, such as taken as inputs by theinformation technology platform 100, such as at check-in to a venue,during a ticketing process, via a mobile application, or by collectionfrom external data sources, such as social media sites of visitors. Inembodiments, a collaborative filtering algorithm may be used to findcampaigns, exhibits, projects, or other items that are likely to be ofinterest to a visitor 102 or of shared interest to a plurality ofvisitors. A collaborative filtering algorithm may solicit input from avisitor 102 about a range of topics, items, exhibits, campaigns, causes,or the like in order to determine likely interest in other items, suchas particular exhibits or campaigns that may be presented to visitors102 as visiting opportunities and/or as opportunities for donations orother philanthropic activity.

In embodiments, the other visitor is selected by the visitor from a listof potential campaign participants. In embodiments, the other visitor isselected by the program from a list of potential campaign participants,such as based on similarity of the visitors or similarity in the extentof the visitors' respective interactions or interest in an exhibit, acampaign, or the like. In embodiments, the campaign is selected from thegroup consisting of a translation project, a clean water project, aneducation project, a building project, a missionary project, a disasterrelief project, a restoration project, an acquisition project andcombinations thereof. In embodiments, the recorded interaction of thevisitor with the specific venue exhibit associated with the ongoingcampaign is analyzed based on video taken of a face of the visitor. Inembodiments, the recorded interaction of the visitor with the specificvenue exhibit is analyzed using visual affect (emotion or sentiment)detection, which may include training a machine learning system on atraining set of data that has been reviewed by human reviewers, whichmay be subsequently further trained based on outcomes, such as successin recognizing sentiment or emotion, or overall outcomes of theinformation technology platform 100.

In embodiments, the call-to-action is selected from a group consistingof a request for a donation, a request for subscription, a request toshare on social media, a request to provide metadata about the visitorfor display on an endorsement, a request to share the campaign withothers, a request to be contacted further, a request to donate on behalfof another, a request to sponsor an other campaign participant, arequest for sponsorship by an other visitor to participate in acampaign. In embodiments, the program automatically queries a sponsoredvisitor to request an update on participation by the sponsored visitorin the campaign. In embodiments, the campaign has specific actions andthe program queries a sponsored visitor whether the sponsored visitorhas completed the specific actions. In embodiments, the steps furtherinclude the step of automatically subscribing the visitor to an ongoingemail or push-messaging update about a status of the campaign. Inembodiments, the ongoing email or push-messaging update provides aspecific update on a sponsored visitor, wherein the visitor subscribedto the update is a sponsor of the sponsored visitor, and wherein theupdate includes a status of completion of specific actions by thesponsored visitor.

FIG. 15 illustrates methods and systems for providing a visitor to amuseum, zoo or other non-profit venue a campaign participationopportunity based on an interaction of the visitor with a specific venueexhibit in accordance with embodiments disclosed herein. As depicted at1501, the method includes “executing a program on a mobile computingdevice carried by the visitor, which, when executed, performs the stepsof:” At 1502, the method includes analyzing a path of the visitor takenthrough the non-profit venue using a set of tracking systems. At 1504,the method includes recording the interaction of the visitor with aspecific venue exhibit associated with an ongoing campaign. Interactionsmay include reactions (such as recorded by a camera, a motion tracking,a gestural recognition system, an audio system, or the like), user input(such as by voice, touch, gesture, or the like, including inputsindicating interest, ratings, sentiment, support, and the like),time-based measures of interaction (such as dwell times in proximity toan exhibit, dwell times of attention to particular portions of anexhibit (such as measured by eye tracking), and the like), interactionsinvolving user choices (such as behavior in games, contests, puzzles andthe like) and others. At 1506, the method includes in response todetecting that the visitor interaction with the specific venue exhibitexceeds a threshold, providing a visitor vector to a recommendationengine 112; the visitor vector includes data indicating that the visitorhas shown interest in the specific venue exhibit associated with thecampaign. At 1508, the method includes using results output by therecommendation engine 112, presenting a relevant call-to-action to thevisitor to direct a portion of funds contributed by the visitor to thecampaign in which the visitor has shown interest. In embodiments, thefunds contributed by the visitor include a contribution in exchange foradmission to the venue, and, in response to the contribution in exchangefor admission, the visitor is given authority to direct a virtual creditto the campaign in further response to the relevant call-to-action. Inembodiments, the steps further include communicating with a retailpoint-of-sale system, wherein the retail point-of-sale system presentsthe relevant call-to-action to the visitor, and wherein thepoint-of-sale system allocates a portion of funds received from thevisitor by the point-of-sale system to the campaign in response toinstructions from the visitor. In embodiments, the instructions includecommunicating a selection via the point-of-sale system. In embodiments,the instructions include communicating a selection via the mobilecomputing device. In embodiments, the mobile computing device includes adigital guide. In embodiments, the steps further include communicatingwith the visitor via a website or mobile app, wherein the visitor isoutside of the venue after the visitor has exited the venue after thevisitor has visited the venue; and the website or mobile app presentsthe relevant call-to-action to the visitor, wherein the website ormobile app allocates a portion of the funds contributed by the visitorto the campaign in response to instructions from the visitor entered viathe website or mobile app. In embodiments, the steps further includecommunicating with the visitor via a website or mobile app, wherein thevisitor is outside of the venue before the visitor has entered the venuebefore the visitor has visited the venue; and the website or mobile apppresents the relevant call-to-action to the visitor, wherein the websiteor mobile app allocates a portion of the funds contributed by thevisitor to the campaign in response to instructions from the visitorentered via the website or mobile app. In embodiments, the campaign isselected from the group consisting of a translation project, a cleanwater project, an education project, a building project, a missionaryproject, a disaster relief project, a restoration project, anacquisition project and combinations thereof. In embodiments therecorded interaction of the visitor with the specific venue exhibitassociated with the ongoing campaign is analyzed based on video taken ofa face of the visitor. In embodiments, the recorded interaction of thevisitor with the specific venue exhibit is analyzed by the mobilecomputing device or by a platform in communication therewith usingvisual affect (e.g., mood, emotion or sentiment) detection, such asusing a machine learning system that is trained for the purpose ofdetecting sentiment. In embodiment, camera-based sentiment detection istrained specifically on outcomes of a set of requests for philanthropicactivity, such as donations in response to calls-to-action, so that theinformation technology platform 100 can recognize visitors 102 who aremost likely to be willing to engage in philanthropic activity at a giventime and place, thereby providing timely requests and avoidingunnecessary solicitation throughout a visitor's visit to the venue. Inembodiments, the call-to-action is selected from the group consisting ofa request for a donation, a request for subscription, a request to shareon social media, a request to provide metadata about the visitor fordisplay on an endorsement, a request to share the campaign with others,a request to be contacted further, a request to donate on behalf ofanother, a request to sponsor an other campaign participant, a requestfor sponsorship by an other visitor to participate in a campaign. Inembodiments, a machine learning system may be trained based on outcomes(e.g., donations or other philanthropic activity) in response todifferent types of call-to-action in order to adjust one or moreparameters, such as the type, timing, presentation and location of thecall-to-action.

FIG. 16 illustrates methods and systems 100 for providing to a visitor102 of a venue 104, a campaign participation opportunity based oninteractions within the venue 104 in accordance with embodimentsdisclosed herein. The system 100 includes a path tracking system 114 fordetermining a path of the visitor 102 taken through the venue 104. Thesystem 100 includes an interaction tracking system 115 for determiningat least one interaction of the visitor 102 with at least one exhibit116 that is associated with an ongoing campaign. The system 100 includesa recommendation engine 112 for processing the interaction to provide arecommendation for an action related to the campaign. In embodiments,upon detecting that an interaction by the visitor 102 with a specificexhibit 116 exceeds a threshold level of interaction, the interactioninformation is provided to the recommendation engine 112. Inembodiments, the recommendation engine 112 provides a relevantcall-to-action to the visitor 102 to participate in a campaign that isrelated to the specific exhibit for which the interaction was tracked.In embodiments, the venue is a museum 130. In embodiments, the venue isa zoo 132. Examples of the venues 104 further include an exhibition 134,a park 138, a temporary venue 140, a retrofit installation 142, and thelike. In embodiments, the venue is a non-profit venue. The server 106 isin communication with a mobile device 108 via the network 110. Themobile device 108 is to be carried by the visitor 102, and communicatewith the network 110, for example, to determine a context, location andother personalized information about the visitor 102. In embodiments,tracking interactions of the visitor 102 with an exhibit 116 includesrecording video of the face of the visitor 102 and using a machinelearning system to analyze interactions based on the video of the faceof the visitor 102 to determine a sentiment of the visitor 102 withrespect to the exhibit 116. In embodiments, the campaign is selectedfrom charitable projects in the group consisting of a translationproject, a clean water project, an education project, a buildingproject, a missionary project, a disaster relief project, a restorationproject, an acquisition project, and combinations thereof. Inembodiments, the call-to-action presented to the visitor is selectedfrom a group consisting of a request for donation, a request forsubscription, a request to share on social media, a request to providemetadata about the visitor for display on an endorsement, a request toshare the campaign with others, a request to provide permission to becontacted further, a request to donate on behalf of another, a requestto sponsor another campaign participant, a request for sponsorship byanother to participate in the campaign, and combinations thereof. Inembodiments, upon receiving input from the visitor 102 to create acampaign related to an exhibit 116, the visitor is provided with aninterface to create a new campaign and provide information about thecampaign. In embodiments, the campaign is uploaded to a server 106 andinformation about the campaign is displayed on a display device inproximity to the exhibit. In embodiments, this information is providedas an input, such as a feature vector, profile, or the like torecommendation engine 112. In embodiments, using the results of therecommendation engine 112, a relevant call-to-action is presented to asecond visitor to participate in the campaign.

FIG. 17 illustrates methods and systems for coordinating personalizedexperiences between cooperating venues, such as museums, zoos or othernon-profit venues in accordance with embodiments disclosed herein. At1702, the method includes identifying a visitor to a current venue usingan authentication system in a mobile application. At 1704, the methodincludes displaying an interface of multimedia available in specificphysical or virtual displays in site plans from a plurality ofnon-profit venues. At 1706, the method includes accessing multimediaassets relating to specific physical or virtual displays in one or moresite plans. At 1708, the method includes accessing categorical ortopical metadata to associate with the multimedia assets. At 1710, themethod includes collecting personalized interest data relating to thevisitor to at least one of the non-profit venues, the personalizedinterest data including visitor-provided preference data,passively-collected visitor interaction data, and visitor route data. At1712, the method includes providing a selection or sequence of venuelocation recommendations for the visitor that include recommendationsand multimedia relating to an other venue different from the currentvenue. In embodiments, the personalized interest data is collected fromvisits by the visitor to multiple non-profit venues using a plurality ofcapture devices. In embodiments, the personalized interest data iscollected using a mobile application. In embodiments, the personalizedinterest data is collected using devices from the group consisting ofwireless beacons, cameras, biometric sensors, a sensor network, andcombinations thereof. In embodiments, the personalized interest data iscollected by tracking visitor interaction with venue displays. Inembodiments, the personalized interest data is collected by trackingvisitor use of a venue guide device, for example, provided by a host ofthe venue. In embodiments, the preference data for the prospectivevisitor is generated from visitor information collected from a visitorunrelated to the cooperating non-profit venues.

FIG. 18 illustrates methods and systems for creating personalizedmulti-venue non-profit venue experiences in accordance with embodimentsdisclosed herein. At 1802, the method includes accessing a list ofmultimedia assets relating to specific physical or virtual exhibits froma plurality of non-profit venues. At 1804, the method includes receivingcategorical or topical metadata to associate with the multimedia assets.At 1806, the method includes receiving personalized interest data for avisitor to at least one of the non-profit venues, the personalizedinterest data including visitor-provided preference data,passively-collected visitor interaction data, and visitor route data. At1808, the method includes receiving personalized interest data for aplurality of non-profit venue visitors relating to multiple non-profitvenues for each visitor (including situations where a single visitorvisits different venues). At 1810, the method includes receivingpreference data relating to a category of non-profit venue visitor. At1812, the method includes applying a machine learning algorithm toanalyze the metadata, the personalized interest data, and the preferencedata relating to the category of non-profit venue visitor. At 1812, themethod includes generating a recommendation of a sequence of multimediaexhibits, wherein a first portion of the sequence relates to a firstnon-profit venue, and a second portion of the sequence relates to asecond non-profit venue. In embodiments, the personalized interest datais collected from visits by visitors across multiple venues using aplurality of capture devices. In embodiments, the personalized interestdata is collected using a mobile application. In embodiments, thepersonalized interest data is collected using a wireless beacon. Inembodiments, the personalized interest data is collected using a camera.In embodiments, the personalized interest data is collected using abiometric sensor. In embodiments, the personalized interest data iscollected using a sensor network. In embodiments, the personalizedinterest data is collected by tracking a visitor interaction with avenue display. In embodiments, the personalized interest data iscollected by tracking a use by a visitor of a venue guide device. Inembodiments, the machine learning system assembles a sequence orselection based at least in part on a personal route taken by thevisitor through one or more site plans. In embodiments, the machinelearning system assembles a sequence or selection based in part on aselection made by the visitor at a venue location.

FIG. 19 illustrates methods and systems for cross-venue referral for avisitor to a non-profit venue in a group of cooperating non-profitvenues in accordance with embodiments of the present disclosure. At1902, the method includes receiving personalized interest data fromamong a set of visitor-provided preference data, passively-collectedvisitor interaction data, and visitor route data for a plurality ofvisitors to non-profit venues across a plurality of non-profit venues.At 1904, the method includes receiving preference data relating to aspecific set of visitors. At 1906, the method includes applying amachine learning algorithm to analyze the personalized interest data andthe preference data relating to the specific set of visitors. At 1908,the method includes generating a recommendation of a selection orsequence of non-profit venue locations for the specific set of visitorsrelating to at least a portion of the plurality of the non-profitvenues. In embodiments, the recommendation includes a promotion ordiscount to attend an other non-profit venue. In embodiments, therecommendation is provided to the specific set of visitors via a mediumselected from the group consisting of email, push messaging, virtualreality, mobile applications, augmented reality, a kiosk, an audiointerface, and combinations thereof. In embodiments, the recommendationis based in part on the contribution history of the specific set ofvisitors. In embodiments, the venues in the group of cooperatingnon-profit venues are classified into categories, and the preferencedata for a prospective set of visitors to a venue in a first category iscollected from a set of visitors to an other venue in an other categoryof venues.

FIG. 20 illustrates methods and systems for automating content selectionfor a personalized museum, zoo or other non-profit venue experience inaccordance with embodiments disclosed herein. At 2002, the methodincludes accessing a list of multimedia assets relating to specificphysical or virtual displays in at least one site plan. At 2004, themethod includes receiving categorical or topical metadata to associatewith the multimedia assets. At 2006, the method includes receivingpersonalized interest data for a venue visitor selected from amongvisitor-provided preference data, passively-collected visitorinteraction data, and visitor route data. At 2008, the method includesreceiving personalized interest data for a plurality of venue visitorsrelating to multiple non-profit venues for each visitor. At 2010, themethod includes receiving preference data relating to a prospectivevenue visitor. At 2012 the method includes applying a machine learningalgorithm to analyze the metadata, the venue visitor data and theprospective visitor data, and generating a selection or sequence ofmuseum venue location recommendations for the prospective visitor. Inembodiments, the personalized interest data is collected from visits bythe visitor to multiple non-profit venues using a plurality of capturedevices. In embodiments, the personalized interest data is collectedusing a mobile application. In embodiments, the personalized interestdata is collected using a wireless beacon. In embodiments, thepersonalized interest data is collected using a camera. In embodiments,the personalized interest data is collected using a biometric sensor. Inembodiments, the personalized interest data is collected using a sensornetwork. In embodiments, the personalized interest data is collected bytracking a visitor interaction with a venue display. In embodiments, thepersonalized interest data is collected by tracking a use by a visitorof a venue guide device. In embodiments, the multiple non-profit venuesare classified into categories, and preference data for a prospectivevisitor to a venue in a first category is collected from a visitor to another venue in an other category of venues disrelated from the firstcategory.

FIG. 21 illustrates methods and systems for providing a coordinatedexperience for a visitor to a non-profit venue in a group of cooperatingnon-profit venues. At 2102, the method includes providing an interfacefor management of multimedia assets. At 2104, the method includesreceiving an assignment of multimedia assets relating to specificphysical or virtual displays in one or more site plans. At 2106, themethod includes receiving categorical or topical metadata to associatewith multimedia assets. At 2108, the method includes providing aninterface for receipt of personalized interest data for a visitor to avenue, including data selected from among visitor-provided preferencedata, passively-collected visitor interaction data, and visitor routedata. At 2110, the method includes receiving personalized interest datafor a plurality of visitors to non-profit venues relating to multiplenon-profit venues for each visitor. At 2112, the method includesapplying a machine learning algorithm to the analyze the multimedia andthe personalized interest data for the plurality of visitors. At 2114,the method includes generating a plurality of generic visitor profilesand a corresponding plurality of selection or sequence of venue locationrecommendations. In embodiments, the management interface furtherprovides a heat map showing paths of visitors through the non-profitvenue. In embodiments, the heat map is further segmented according tothe generic visitor profiles. In embodiments, the personalized interestdata is collected from visits by visitors across multiple venues using aplurality of capture devices. In embodiments, the personalized interestdata is collected using a mobile application. In embodiments, thepersonalized interest data is collected using a device selected from thegroup consisting of a wireless beacon, a camera, a biometric sensor, asensor network, and combinations thereof. In embodiments, thepersonalized interest data is collected by tracking a visitorinteraction with a venue display. In embodiments, the personalizedinterest data is collected by use by a visitor of a venue guide device,such as provided by a host of a venue. In embodiments, the machinelearning system assembles a sequence or selection based at least in parton a personal route taken by the visitor through one or more site plans.In embodiments, the machine learning system assembles a sequence orselection based in part on a selection made by the visitor at a venuelocation. In embodiments, the multimedia assets are interactive. Inembodiments, an interactive multimedia asset is assigned to use anaudio, visual, tactile, or movement capture device associated with alocation in the venue. In embodiments, the management interface furtherprovides an interface for creating an interactive campaign, whereininformation about the interactive campaign is displayed at a pluralityof locations or sites, wherein the information about the interactivecampaign is displayed simultaneously at the plurality of locations orsites, and wherein visitors at the plurality of locations have access toreal-time interaction or real-time communication with each other. Inembodiments, a mode of the real-time communication is selected from thegroup consisting of audio conferencing, video conferencing, virtualreality conferencing, collaborative text chat, holographic conferencing,and combinations thereof. In embodiments, the locations in the siteplans are associated with a wireless beacon.

FIG. 22 illustrates methods and systems for providing supplemental mediato a visitor at a museum, zoo or other non-profit venue in accordancewith embodiments disclosed herein. As depicted at 2201, the methodincludes “executing an application on a mobile computing device carriedby the visitor, which, when executed, performs the steps of:” At 2202,the method includes tracking a specific path of the visitor through thevenue using a set of tracking systems. At 2204, the method includestracking locations where the visitor stopped and waited. At 2206, themethod includes storing the specific path of the visitor on a remoteserver. At 2208, the method includes providing a digital map to thevisitor on the mobile computing device carried by the visitor. At 2210,the method includes determining, from the specific path of the visitorstored on the remote server, whether or not the visitor had come intoproximity of certain exhibits or objects depicted on the digital map. At2212, the method includes, in response to the determining, selectivelyallowing the visitor to view information about the exhibits or theobjects on the digital map if the visitor had come into proximity of theexhibits or the objects. In embodiments, the information is selectedfrom the group consisting of high-resolution imagery, video, captioning,textual data, live video feed, donation information, and combinationsthereof. In embodiments, the set of tracking systems includes a RadioFrequency (RF) beacon, an access point, an Indoor Positioning System(IPS), a Global Positioning System (GPS), a local proximity detectionsystem, a Quick Response (QR) code scanning system, or an imagerecognition system. In embodiments, the local proximity detection systemincludes at least one of a Near-Field Communication (NFC) system, aWi-Fi system, an RF system, a cellular system, an IoT system, and aBluetooth system. In embodiments, the method further includesselectively preventing the visitor from viewing the information aboutthe exhibits or the objects on the digital map if the visitor had notcome into proximity of the exhibits or the objects.

FIG. 23 illustrates methods and systems for providing personalized venuevisit recommendations to a visitor at a museum, a zoo or othernon-profit venue in accordance with embodiments disclosed herein. At2302, the method includes providing a management interface formanagement of a set of multimedia assets. At 2304, the method includesreceiving a mapping of multimedia assets to specific physical or virtualdisplays in at least one site plan. At 2306, the method includesreceiving topical metadata for the set of multimedia assets. At 2308,the method includes providing an interface for receiving data indicatingpersonal interests of a visitor to the venue, wherein the dataindicating personal interests of the visitor to the venue includesvisitor-provided preference data and passively-collected visitorinteraction data. At 2310, the method includes receiving personalinterest data for a plurality of venue visitors. At 2312, the methodincludes receiving preference data relating to a prospective visitor. At2314, the method includes applying a machine learning system to analyzethe metadata, the data indicating personal interests of the visitor, thepersonal interest data for the plurality of venue visitors, and thepreference data relating to the prospective visitor. At 2316, the methodincludes generating a selection or sequence of venue locationrecommendations for the prospective visitor. In embodiments, the machinelearning system assembles a sequence or selection based at least in parton visitor selections made at the venue. In embodiments, the machinelearning system generates recommendations based at least in part on adonation history of the prospective visitor. In embodiments, the machinelearning system generates recommendations based at least in part on adonation history of visitors with similar interests to the prospectivevisitor. In embodiments, the management interface further provides aninterface for creating an interactive campaign, wherein informationabout the interactive campaign is displayed at multiple locations orsites, wherein the information about the interactive campaign isdisplayed simultaneously at the multiple locations or sites, and whereina visitor at one of the multiple locations or sites can interact orcommunicate with at least one other visitor at at least one otherlocation or site in real time. In embodiments, the real-timecommunication is selected from the group consisting of audioconferencing, video conferencing, virtual reality conferencing,collaborative text chat, holographic conferencing, and combinationsthereof. In embodiments, the venue locations are associated withcorresponding wireless beacons.

The methods and systems described herein may be deployed in part or inwhole through a machine that executes computer software, program codes,and/or instructions on a processor. The present disclosure may beimplemented as a method on the machine, as a system or apparatus as partof or in relation to the machine, or as a computer program productembodied in a computer readable medium executing on one or more of themachines. In embodiments, the processor may be part of a server, cloudserver, client, network infrastructure, mobile computing platform,stationary computing platform, or other computing platforms. A processormay be any kind of computational or processing device capable ofexecuting program instructions, codes, binary instructions and the like.The processor may be or may include a signal processor, digitalprocessor, embedded processor, microprocessor or any variant such as aco-processor (math co-processor, graphic co-processor, communicationco-processor and the like) and the like that may directly or indirectlyfacilitate execution of program code or program instructions storedthereon. In addition, the processor may enable execution of multipleprograms, threads, and codes. The threads may be executed simultaneouslyto enhance the performance of the processor and to facilitatesimultaneous operations of the application. By way of implementation,methods, program codes, program instructions and the like describedherein may be implemented in one or more threads. The thread may spawnother threads that may have assigned priorities associated with them;the processor may execute these threads based on priority or any otherorder based on instructions provided in the program code. The processor,or any machine utilizing one, may include non-transitory memory thatstores methods, codes, instructions and programs as described herein andelsewhere. The processor may access a non-transitory storage mediumthrough an interface that may store methods, codes, and instructions asdescribed herein and elsewhere. The storage medium associated with theprocessor for storing methods, programs, codes, program instructions orother type of instructions capable of being executed by the computing orprocessing device may include but may not be limited to one or more of aCD-ROM, DVD, memory, hard disk, flash drive, RAM, ROM, cache and thelike.

A processor may include one or more cores that may enhance speed andperformance of a multiprocessor. In embodiments, the process may be adual core processor, quad core processors, other chip-levelmultiprocessor and the like that combine two or more independent cores(called a die).

The methods and systems described herein may be deployed in part or inwhole through a machine that executes computer software on a server,client, firewall, gateway, hub, router, or other such computer and/ornetworking hardware. The software program may be associated with aserver that may include a file server, print server, domain server,internet server, intranet server, cloud server, and other variants suchas secondary server, host server, distributed server and the like. Theserver may include one or more of memories, processors, computerreadable media, storage media, ports (physical and virtual),communication devices, and interfaces capable of accessing otherservers, clients, machines, and devices through a wired or a wirelessmedium, and the like. The methods, programs, or codes as describedherein and elsewhere may be executed by the server. In addition, otherdevices required for execution of methods as described in thisapplication may be considered as a part of the infrastructure associatedwith the server.

The server may provide an interface to other devices including, withoutlimitation, clients, other servers, printers, database servers, printservers, file servers, communication servers, distributed servers,social networks, and the like. Additionally, this coupling and/orconnection may facilitate remote execution of programs across thenetwork. The networking of some or all of these devices may facilitateparallel processing of a program or method at one or more locationwithout deviating from the scope of the disclosure. In addition, any ofthe devices attached to the server through an interface may include atleast one storage medium capable of storing methods, programs, codeand/or instructions. A central repository may provide programinstructions to be executed on different devices. In thisimplementation, the remote repository may act as a storage medium forprogram code, instructions, and programs.

The software program may be associated with a client that may include afile client, print client, domain client, internet client, intranetclient and other variants such as secondary client, host client,distributed client and the like. The client may include one or more ofmemories, processors, computer readable media, storage media, ports(physical and virtual), communication devices, and interfaces capable ofaccessing other clients, servers, machines, and devices through a wiredor a wireless medium, and the like. The methods, programs, or codes asdescribed herein and elsewhere may be executed by the client. Inaddition, other devices required for execution of methods as describedin this application may be considered as a part of the infrastructureassociated with the client.

The client may provide an interface to other devices including, withoutlimitation, servers, other clients, printers, database servers, printservers, file servers, communication servers, distributed servers andthe like. Additionally, this coupling and/or connection may facilitateremote execution of program across the network. The networking of someor all of these devices may facilitate parallel processing of a programor method at one or more location without deviating from the scope ofthe disclosure. In addition, any of the devices attached to the clientthrough an interface may include at least one storage medium capable ofstoring methods, programs, applications, code and/or instructions. Acentral repository may provide program instructions to be executed ondifferent devices. In this implementation, the remote repository may actas a storage medium for program code, instructions, and programs.

The methods and systems described herein may be deployed in part or inwhole through network infrastructures. The network infrastructure mayinclude elements such as computing devices, servers, routers, hubs,firewalls, clients, personal computers, communication devices, routingdevices and other active and passive devices, modules and/or componentsas known in the art. The computing and/or non-computing device(s)associated with the network infrastructure may include, apart from othercomponents, a storage medium such as flash memory, buffer, stack, RAM,ROM and the like. The processes, methods, program codes, instructionsdescribed herein and elsewhere may be executed by one or more of thenetwork infrastructural elements. The methods and systems describedherein may be adapted for use with any kind of private, community, orhybrid cloud computing network or cloud computing environment, includingthose which involve features of software as a service (SaaS), platformas a service (PaaS), and/or infrastructure as a service (IaaS).

The methods, program codes, and instructions described herein andelsewhere may be implemented on a cellular network having multiplecells. The cellular network may either be frequency division multipleaccess (FDMA) network or code division multiple access (CDMA) network.The cellular network may include mobile devices, cell sites, basestations, repeaters, antennas, towers, and the like. The cell networkmay be a GSM, GPRS, 3G, EVDO, mesh, or other networks types.

The methods, program codes, and instructions described herein andelsewhere may be implemented on or through mobile devices. The mobiledevices may include navigation devices, cell phones, mobile phones,mobile personal digital assistants, laptops, palmtops, netbooks, pagers,electronic books readers, music players and the like. These devices mayinclude, apart from other components, a storage medium such as a flashmemory, buffer, RAM, ROM and one or more computing devices. Thecomputing devices associated with mobile devices may be enabled toexecute program codes, methods, and instructions stored thereon.Alternatively, the mobile devices may be configured to executeinstructions in collaboration with other devices. The mobile devices maycommunicate with base stations interfaced with servers and configured toexecute program codes. The mobile devices may communicate on apeer-to-peer network, mesh network, or other communications network. Theprogram code may be stored on the storage medium associated with theserver and executed by a computing device embedded within the server.The base station may include a computing device and a storage medium.The storage device may store program codes and instructions executed bythe computing devices associated with the base station.

The computer software, program codes, and/or instructions may be storedand/or accessed on machine readable media that may include: computercomponents, devices, and recording media that retain digital data usedfor computing for some interval of time; semiconductor storage known asrandom access memory (RAM); mass storage typically for more permanentstorage, such as optical discs, forms of magnetic storage like harddisks, tapes, drums, cards and other types; processor registers, cachememory, volatile memory, non-volatile memory; optical storage such asCD, DVD; removable media such as flash memory (e.g., USB sticks orkeys), floppy disks, magnetic tape, paper tape, punch cards, standaloneRAM disks, Zip drives, removable mass storage, off-line, and the like;other computer memory such as dynamic memory, static memory, read/writestorage, mutable storage, read only, random access, sequential access,location addressable, file addressable, content addressable, networkattached storage, storage area network, bar codes, magnetic ink, and thelike.

The methods and systems described herein may transform physical and/orintangible items from one state to another. The methods and systemsdescribed herein may also transform data representing physical and/orintangible items from one state to another.

The elements described and depicted herein, including in flow charts andblock diagrams throughout the figures, imply logical boundaries betweenthe elements. However, according to software or hardware engineeringpractices, the depicted elements and the functions thereof may beimplemented on machines through computer executable media having aprocessor capable of executing program instructions stored thereon as amonolithic software structure, as standalone software modules, or asmodules that employ external routines, code, services, and so forth, orany combination of these, and all such implementations may be within thescope of the present disclosure. Examples of such machines may include,but may not be limited to, personal digital assistants, laptops,personal computers, mobile phones, other handheld computing devices,medical equipment, wired or wireless communication devices, transducers,chips, calculators, satellites, tablet PCs, electronic books, gadgets,electronic devices, devices having artificial intelligence, computingdevices, networking equipment, servers, routers and the like.Furthermore, the elements depicted in the flow chart and block diagramsor any other logical component may be implemented on a machine capableof executing program instructions. Thus, while the foregoing drawingsand descriptions set forth functional aspects of the disclosed systems,no particular arrangement of software for implementing these functionalaspects should be inferred from these descriptions unless explicitlystated or otherwise clear from the context. Similarly, it will beappreciated that the various portions of methods identified anddescribed above may be varied and that the any one method or portionsthereof may be adapted to particular applications of the techniquesdisclosed herein. All such variations and modifications are intended tofall within the scope of this disclosure. As such, the depiction and/ordescription of an order for various portions of methods should not beunderstood to require a particular order of execution, unless requiredby a particular application, or explicitly stated or otherwise clearfrom the context.

The methods and/or processes described above, and portions associatedtherewith, may be realized in hardware, software or any combination ofhardware and software suitable for a particular application. Thehardware may include a general-purpose computer and/or dedicatedcomputing device or specific computing device or particular aspect orcomponent of a specific computing device. The processes may be realizedin one or more microprocessors, microcontrollers, embeddedmicrocontrollers, programmable digital signal processors or otherprogrammable devices, along with internal and/or external memory. Theprocesses may also, or instead, be embodied in an application specificintegrated circuit, a programmable gate array, programmable array logic,or any other device or combination of devices that may be configured toprocess electronic signals. It will further be appreciated that one ormore of the processes may be realized as a computer executable codecapable of being executed on a machine-readable medium.

The computer executable code may be created using a structuredprogramming language such as C, an object oriented programming languagesuch as C++, or any other high-level or low-level programming language(including assembly languages, hardware description languages, anddatabase programming languages and technologies) that may be stored,compiled or interpreted to run on one of the above devices, as well asheterogeneous combinations of processors, processor architectures, orcombinations of different hardware and software, or any other machinecapable of executing program instructions.

Thus, in one aspect, methods described above and combinations thereofmay be embodied in computer executable code that, when executing on oneor more computing devices, performs the portions of methods thereof. Inanother aspect, the methods may be embodied in systems that perform theportions of the methods thereof and may be distributed across devices ina number of ways, or all of the functionality may be integrated into adedicated, standalone device or other hardware. In another aspect, themeans for performing the portions of the processes described above mayinclude any of the hardware and/or software described above. All suchpermutations and combinations are intended to fall within the scope ofthe present disclosure.

The method steps of the implementations described herein are intended toinclude any suitable method of causing such method steps to beperformed, consistent with the patentability of the following claims,unless a different meaning is expressly provided or otherwise clear fromthe context. For example, performing the step of X includes any suitablemethod for causing another party such as a remote user, a remoteprocessing resource (e.g., a server or cloud computer) or a machine toperform the step of X. Similarly, performing steps X, Y and Z mayinclude any method of directing or controlling any combination of suchother individuals or resources to perform steps X, Y and Z to obtain thebenefit of such steps. Thus, method steps of the implementationsdescribed herein are intended to include any suitable method of causingone or more other parties or entities to perform the steps, consistentwith the patentability of the following claims, unless a differentmeaning is expressly provided or otherwise clear from the context. Suchparties or entities need not be under the direction or control of anyother party or entity and need not be located within a particularjurisdiction.

While the disclosure has been disclosed in connection with the manyembodiments shown and described in detail, various modifications andimprovements thereon will become readily apparent to those skilled inthe art. Accordingly, the spirit and scope of the present disclosure isnot to be limited by the foregoing examples but is to be understood inthe broadest sense allowable by law.

The use of the terms “a” and “an” and “the” and similar referents in thecontext of describing the disclosure (especially in the context of thefollowing claims) is to be construed to cover both the singular and theplural unless otherwise indicated herein or clearly contradicted bycontext. The terms “comprising,” “having,” “including,” and “containing”are to be construed as open-ended terms (i.e., meaning “including, butnot limited to,”) unless otherwise noted. The term “set” is to beconstrued as a group having one or more members. Recitations of rangesof values herein are merely intended to serve as a shorthand method ofreferring individually to each separate value falling within the range,unless otherwise indicated herein, and each separate value isincorporated into the specification as if it were individually recitedherein. All methods described herein may be performed in any suitableorder unless otherwise indicated herein or otherwise clearlycontradicted by context. The use of any and all examples, or exemplarylanguage (e.g., “such as”) provided herein, is intended merely to betterilluminate the disclosure and does not pose a limitation on the scope ofthe disclosure unless otherwise claimed. No language in thespecification should be construed as indicating any non-claimed elementas essential to the practice of the disclosure.

While the foregoing written description enables one skilled in the artto make and use what is considered presently to be the best modethereof, those skilled in the art will understand and appreciate theexistence of variations, combinations, and equivalents of the specificembodiment, method, and examples herein. The disclosure should thereforenot be limited by the above described embodiment, method, and examples,but by all embodiments and methods within the scope and spirit of thedisclosure. All documents referenced herein are hereby incorporated byreference.

What is claimed is:
 1. A system for providing supplemental media to avisitor at a non-profit venue, comprising: a software product running aprogram on a mobile computing device carried by a visitor to anon-profit venue, which when the program is executed, performs the stepsof: analyzing photographs taken by the visitor; accessing digitalimagery from a database of high-resolution imagery of the non-profitvenue; matching the photographs taken by the visitor to thehigh-resolution imagery to identify a location in the non-profit venueof a set of exhibits depicted in the photographs; creating archivableregions in stored imagery allocated to the visitor; and allowing thevisitor to activate the archivable regions to retrieve additionalinformation about the set of exhibits depicted in the photographs. 2.The system of claim 1, wherein the additional information includes acall-to-action allowing the visitor to participate in a fundraisingcampaign.
 3. The system of claim 1, wherein the additional informationincludes a call-to-action allowing the visitor to share a fundraisingcampaign with another visitor.
 4. The system of claim 1, wherein theadditional information includes a call-to-action allowing the visitor toprovide personal information or a photograph to be shared in a virtualwall relating to the set of exhibits.
 5. The system of claim 1, whereinthe additional information is selected from a group consisting ofhigh-resolution imagery, video, captioning, textual data, live videofeed, donation information, and combinations thereof.
 6. The system ofclaim 1, wherein the additional information includes suggestions ofother exhibits popular with people who took photographs of the set ofexhibits.
 7. An information technology platform for personalizing anexperience of a visitor at non-profit venue, the platform comprising: anetwork; a server in communication with the network; a mobile computingdevice to be carried by a visitor to a non-profit venue, the mobilecomputing device in communication with the server via the network,wherein an information technology platform determines personalizedinformation about the visitor; and a donation impact viewing system forpresenting media or information to the visitor based on a photographtaken by a visitor, wherein the media or information relates to adonation impact of a donation related to a point of interest.
 8. Theinformation technology platform of claim 7, wherein the media orinformation depicts or is related to the point of interest prior todonation efforts or campaign initiation.
 9. The information technologyplatform of claim 7, wherein media or information depicts or is relatedto the point of interest upon completion of a donation or campaignbenchmark or goal.
 10. The information technology platform of claim 7,wherein the media or information depicts a status of a campaign withrespect to a donation goal.
 11. The information technology platform ofclaim 7, wherein the media or information is presented to the visitorwith a request for the visitor to donate.
 12. A method for personalizingan experience of a visitor at a non-profit venue, comprising: executingan application on a mobile computing device carried by the visitor,which, when executed, performs the steps of: analyzing a path of avisitor taken through a non-profit venue based on data from a set oftracking systems; recording an interaction of the visitor with aspecific exhibit or other item associated with an ongoing campaign; upondetecting that the interaction by the visitor with the specific exhibitor other item exceeds a threshold, providing personalized informationrelating to the visitor to a recommendation engine; and using resultsfrom the recommendation engine, presenting a relevant call-to-action tothe visitor to participate in the ongoing campaign.
 13. The method ofclaim 12, wherein the personalized information includes a feature vectoror visitor profile.
 14. The method of claim 12, wherein the ongoingcampaign is a charitable project selected from a group consisting of atranslation project, an art project, a clean water project, an educationproject, a building project, a missionary project, a disaster reliefproject, a restoration project, an acquisition project and combinationsthereof.
 15. The method of claim 12, wherein the recorded interaction ofthe visitor with the specific exhibit or other item is analyzed based onvideo taken of a face of the visitor.
 16. The method of claim 12,wherein the recorded interaction of the visitor with the specificexhibit or other item is analyzed by the mobile computing device or by aplatform in communication therewith using visual affect detection. 17.The method of claim 12, wherein the call-to-action is presented inresponse to the visitor requesting additional information about acampaign.
 18. The method of claim 12, wherein the relevantcall-to-action is selected from a group consisting of a request for adonation, a request for a subscription, a request to share on socialmedia, a request to provide metadata about the visitor for display on anendorsement, a request to share the campaign with others, a request tobe contacted further, a request to donate on behalf of another, arequest to sponsor another campaign participant, a request forsponsorship by another to participate in the campaign and combinationsthereof.
 19. The method of claim 12, wherein the campaign has a set ofgoals and the application shows a degree of achievement of the set ofgoals in a graphical form.
 20. The method of claim 12, wherein the stepsfurther include a step of automatically subscribing the visitor to anongoing email or push-messaging update about a status of the campaign.